import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
import warnings,np_utils
warnings.filterwarnings(action='ignore')
import tensorflow as tf
from tensorflow.keras.models import Sequential,load_model
from tensorflow.keras.layers import Dense,Dropout,Activation
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras import regularizers, optimizers
from tensorflow.keras.utils import to_categorical
from keras.utils import np_utils
from keras.layers import Activation,ReLU
from sklearn.model_selection import train_test_split
from tensorflow.keras import regularizers, optimizers
from sklearn.metrics import mean_absolute_error,mean_squared_error
from keras.layers.normalization import BatchNormalization
import random
from IPython.display import Audio
from scipy.stats import shapiro,f_oneway
from sklearn.metrics import classification_report,confusion_matrix
from sklearn.preprocessing import StandardScaler
from imblearn.combine import SMOTETomek
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
random.seed(0)
sound_file = 'C:\\Users\\raghavendra.s.k\\Music\\Notification.mp3'
def notify():
return Audio(sound_file, autoplay=True)
df = pd.read_csv('Part- 1,2&3 - Signal (3).csv')
df
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 4 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.700 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.99780 | 3.51 | 0.56 | 9.4 | 5 |
| 1 | 7.8 | 0.880 | 0.00 | 2.6 | 0.098 | 25.0 | 67.0 | 0.99680 | 3.20 | 0.68 | 9.8 | 5 |
| 2 | 7.8 | 0.760 | 0.04 | 2.3 | 0.092 | 15.0 | 54.0 | 0.99700 | 3.26 | 0.65 | 9.8 | 5 |
| 3 | 11.2 | 0.280 | 0.56 | 1.9 | 0.075 | 17.0 | 60.0 | 0.99800 | 3.16 | 0.58 | 9.8 | 6 |
| 4 | 7.4 | 0.700 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.99780 | 3.51 | 0.56 | 9.4 | 5 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1594 | 6.2 | 0.600 | 0.08 | 2.0 | 0.090 | 32.0 | 44.0 | 0.99490 | 3.45 | 0.58 | 10.5 | 5 |
| 1595 | 5.9 | 0.550 | 0.10 | 2.2 | 0.062 | 39.0 | 51.0 | 0.99512 | 3.52 | 0.76 | 11.2 | 6 |
| 1596 | 6.3 | 0.510 | 0.13 | 2.3 | 0.076 | 29.0 | 40.0 | 0.99574 | 3.42 | 0.75 | 11.0 | 6 |
| 1597 | 5.9 | 0.645 | 0.12 | 2.0 | 0.075 | 32.0 | 44.0 | 0.99547 | 3.57 | 0.71 | 10.2 | 5 |
| 1598 | 6.0 | 0.310 | 0.47 | 3.6 | 0.067 | 18.0 | 42.0 | 0.99549 | 3.39 | 0.66 | 11.0 | 6 |
1599 rows × 12 columns
df.corr()['Signal_Strength'].sort_values(ascending=False)
# Parameter 4,Parameter 6 and Parameter 9 does not correlate much with the Targe "Signal_strength"
Signal_Strength 1.000000 Parameter 11 0.476166 Parameter 10 0.251397 Parameter 3 0.226373 Parameter 1 0.124052 Parameter 4 0.013732 Parameter 6 -0.050656 Parameter 9 -0.057731 Parameter 5 -0.128907 Parameter 8 -0.174919 Parameter 7 -0.185100 Parameter 2 -0.390558 Name: Signal_Strength, dtype: float64
plt.figure(figsize=(12,8))
plt.grid()
sns.distplot(df['Parameter 1'])
# There is a little skewness in the data
<AxesSubplot:xlabel='Parameter 1', ylabel='Density'>
# Ho = "The column is not normally distributed"
# Ha = "The column is normally distributed"
stat,Pvalue = shapiro(df['Parameter 1'])
if Pvalue<0.5:
print(f"We reject null hypothesis as pvalue is {round(Pvalue)} and the data is normally distributed")
else:
print("We fail to reject null hypothesis")
We reject null hypothesis as pvalue is 0 and the data is normally distributed
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 1'])
#We see a very mild connection between target and parameter 1
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 1'>
df.groupby('Signal_Strength')['Parameter 1'].mean()
Signal_Strength 3 8.360000 4 7.779245 5 8.167254 6 8.347179 7 8.872362 8 8.566667 Name: Parameter 1, dtype: float64
# Ho = "There is no connect between Parameter 1 and target"
# Ha = "There is a connect between Parameter 1 and target"
stat,Pvalue = f_oneway(df[df['Signal_Strength']==3]['Parameter 1'],df[df['Signal_Strength']==4]['Parameter 1'],df[df['Signal_Strength']==5]['Parameter 1'],df[df['Signal_Strength']==6]['Parameter 1'],df[df['Signal_Strength']==7]['Parameter 1'],df[df['Signal_Strength']==8]['Parameter 1'])
if Pvalue<0.5:
print(f"We reject null hypothesis as pvalue is {round(Pvalue)} and there is a connect between Parameter 1 and target")
else:
print("We fail to reject null hypothesis")
We reject null hypothesis as pvalue is 0 and there is a connect between Parameter 1 and target
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 1'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 1'>
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 1'],df['Parameter 9'],hue=df['Signal_Strength'],palette='deep')
<AxesSubplot:xlabel='Parameter 1', ylabel='Parameter 9'>
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 1'],df['Parameter 3'],hue=df['Signal_Strength'],palette='muted')
<AxesSubplot:xlabel='Parameter 1', ylabel='Parameter 3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.distplot(df['Parameter 2'])
<AxesSubplot:xlabel='Parameter 2', ylabel='Density'>
plt.figure(figsize=(12,8))
plt.grid()
sns.boxplot(df['Parameter 2'])
<AxesSubplot:xlabel='Parameter 2'>
df.corr()['Parameter 2'].sort_values(ascending=False)
Parameter 2 1.000000 Parameter 9 0.234937 Parameter 7 0.076470 Parameter 5 0.061298 Parameter 8 0.022026 Parameter 4 0.001918 Parameter 6 -0.010504 Parameter 11 -0.202288 Parameter 1 -0.256131 Parameter 10 -0.260987 Signal_Strength -0.390558 Parameter 3 -0.552496 Name: Parameter 2, dtype: float64
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 2'],df['Parameter 3'],hue=df['Signal_Strength'],palette='dark')
<AxesSubplot:xlabel='Parameter 2', ylabel='Parameter 3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 2'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 2'>
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 3'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 3'>
pca = PCA(n_components=5)
SS = StandardScaler()
features = SS.fit_transform(df.drop('Signal_Strength',axis=1))
pca.fit(features)
PCA(n_components=5)
[i*100 for i in pca.explained_variance_ratio_]
#70% variance explained by 4 components, we can also try keeping 5 components
[28.17393127884516, 17.508269905390712, 14.095849898004953, 11.029386641613897, 8.720837012249948]
transformed_features = pca.transform(features)
df1 = pd.DataFrame(transformed_features,columns=['Feature1','Feature2','Feature3','Feature4','Feature5'])
df1['Signal_Strength'] = df['Signal_Strength']
df1
| Feature1 | Feature2 | Feature3 | Feature4 | Feature5 | Signal_Strength | |
|---|---|---|---|---|---|---|
| 0 | -1.619530 | 0.450950 | -1.774454 | 0.043740 | 0.067014 | 5 |
| 1 | -0.799170 | 1.856553 | -0.911690 | 0.548066 | -0.018392 | 5 |
| 2 | -0.748479 | 0.882039 | -1.171394 | 0.411021 | -0.043531 | 5 |
| 3 | 2.357673 | -0.269976 | 0.243489 | -0.928450 | -1.499149 | 6 |
| 4 | -1.619530 | 0.450950 | -1.774454 | 0.043740 | 0.067014 | 5 |
| ... | ... | ... | ... | ... | ... | ... |
| 1594 | -2.150500 | 0.814286 | 0.617063 | 0.407687 | -0.240936 | 5 |
| 1595 | -2.214496 | 0.893101 | 1.807402 | 0.414003 | 0.119592 | 6 |
| 1596 | -1.456129 | 0.311746 | 1.124239 | 0.491877 | 0.193716 | 6 |
| 1597 | -2.270518 | 0.979791 | 0.627965 | 0.639770 | 0.067735 | 5 |
| 1598 | -0.426975 | -0.536690 | 1.628955 | -0.391716 | 0.450482 | 6 |
1599 rows × 6 columns
df1.corr()['Signal_Strength'].sort_values(ascending=False)
#Now we see a better correlation with 4 features except 1
Signal_Strength 1.000000 Feature3 0.399274 Feature1 0.110349 Feature5 0.101539 Feature4 -0.044159 Feature2 -0.386802 Name: Signal_Strength, dtype: float64
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature3'],palette='dark')
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature1'],palette='dark')
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature1'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature2'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature2'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature5'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature5'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature4'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature4'>
df1['Signal_Strength'].unique()
array([5, 6, 7, 4, 8, 3], dtype=int64)
df1.head()
| Feature1 | Feature2 | Feature3 | Feature4 | Feature5 | Signal_Strength | |
|---|---|---|---|---|---|---|
| 0 | -1.619530 | 0.450950 | -1.774454 | 0.043740 | 0.067014 | 5 |
| 1 | -0.799170 | 1.856553 | -0.911690 | 0.548066 | -0.018392 | 5 |
| 2 | -0.748479 | 0.882039 | -1.171394 | 0.411021 | -0.043531 | 5 |
| 3 | 2.357673 | -0.269976 | 0.243489 | -0.928450 | -1.499149 | 6 |
| 4 | -1.619530 | 0.450950 | -1.774454 | 0.043740 | 0.067014 | 5 |
df.head()
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 4 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
| 1 | 7.8 | 0.88 | 0.00 | 2.6 | 0.098 | 25.0 | 67.0 | 0.9968 | 3.20 | 0.68 | 9.8 | 5 |
| 2 | 7.8 | 0.76 | 0.04 | 2.3 | 0.092 | 15.0 | 54.0 | 0.9970 | 3.26 | 0.65 | 9.8 | 5 |
| 3 | 11.2 | 0.28 | 0.56 | 1.9 | 0.075 | 17.0 | 60.0 | 0.9980 | 3.16 | 0.58 | 9.8 | 6 |
| 4 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
from scipy.stats import shapiro,f_oneway
plt.figure(figsize=(12,8))
plt.grid()
sns.distplot(df['Signal_Strength'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Density'>
# Ha = "The Signal_strength is not normally distributed"
# Ho = "The Signal_strength is normally distributed"
statistic,P_value = shapiro(df['Signal_Strength'])
if P_value<0.5:
print("The signal strength is not normally distributed")
else:
print("The signal strength is normally distributed")
The signal strength is not normally distributed
df['Signal_Strength'].unique()
array([5, 6, 7, 4, 8, 3], dtype=int64)
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 1'])
#Ho Parameter1 does not play a role in signal Strength
#Ha Parameter1 plays a role in signal Strength
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 1'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 1'],df[df['Signal_Strength']==6]['Parameter 1'],df[df['Signal_Strength']==7]['Parameter 1'],df[df['Signal_Strength']==4]['Parameter 1'],df[df['Signal_Strength']==8]['Parameter 1'],df[df['Signal_Strength']==3]['Parameter 1'])
print(round(p_value,3))
#Ha Parameter1 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 2'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 2'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 2'],df[df['Signal_Strength']==6]['Parameter 2'],df[df['Signal_Strength']==7]['Parameter 2'],df[df['Signal_Strength']==4]['Parameter 2'],df[df['Signal_Strength']==8]['Parameter 2'],df[df['Signal_Strength']==3]['Parameter 2'])
print(round(p_value,3))
#Ha Parameter2 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 3'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 3'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 3'],df[df['Signal_Strength']==6]['Parameter 3'],df[df['Signal_Strength']==7]['Parameter 3'],df[df['Signal_Strength']==4]['Parameter 3'],df[df['Signal_Strength']==8]['Parameter 3'],df[df['Signal_Strength']==3]['Parameter 3'])
print(round(p_value,3))
#Ha Parameter3 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 4'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 4'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 4'],df[df['Signal_Strength']==6]['Parameter 4'],df[df['Signal_Strength']==7]['Parameter 4'],df[df['Signal_Strength']==4]['Parameter 4'],df[df['Signal_Strength']==8]['Parameter 4'],df[df['Signal_Strength']==3]['Parameter 4'])
print(round(p_value,3))
#Ha Parameter4 plays a role in signal Strength
0.385
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 5'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 5'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 5'],df[df['Signal_Strength']==6]['Parameter 5'],df[df['Signal_Strength']==7]['Parameter 5'],df[df['Signal_Strength']==4]['Parameter 5'],df[df['Signal_Strength']==8]['Parameter 5'],df[df['Signal_Strength']==3]['Parameter 5'])
print(round(p_value,3))
#Ha Parameter5 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 6'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 6'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 6'],df[df['Signal_Strength']==6]['Parameter 6'],df[df['Signal_Strength']==7]['Parameter 6'],df[df['Signal_Strength']==4]['Parameter 6'],df[df['Signal_Strength']==8]['Parameter 6'],df[df['Signal_Strength']==3]['Parameter 6'])
print(round(p_value,3))
#Ha Parameter6 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 7'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 7'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 7'],df[df['Signal_Strength']==6]['Parameter 7'],df[df['Signal_Strength']==7]['Parameter 7'],df[df['Signal_Strength']==4]['Parameter 7'],df[df['Signal_Strength']==8]['Parameter 7'],df[df['Signal_Strength']==3]['Parameter 7'])
print(round(p_value,3))
#Ha Parameter7 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 8'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 8'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 8'],df[df['Signal_Strength']==6]['Parameter 8'],df[df['Signal_Strength']==7]['Parameter 8'],df[df['Signal_Strength']==4]['Parameter 8'],df[df['Signal_Strength']==8]['Parameter 8'],df[df['Signal_Strength']==3]['Parameter 8'])
print(round(p_value,3))
#Ha Parameter8 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 9'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 9'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 9'],df[df['Signal_Strength']==6]['Parameter 9'],df[df['Signal_Strength']==7]['Parameter 9'],df[df['Signal_Strength']==4]['Parameter 9'],df[df['Signal_Strength']==8]['Parameter 9'],df[df['Signal_Strength']==3]['Parameter 9'])
print(round(p_value,3))
#Ha Parameter9 plays a role in signal Strength
0.001
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 10'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 10'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 10'],df[df['Signal_Strength']==6]['Parameter 10'],df[df['Signal_Strength']==7]['Parameter 10'],df[df['Signal_Strength']==4]['Parameter 10'],df[df['Signal_Strength']==8]['Parameter 10'],df[df['Signal_Strength']==3]['Parameter 10'])
print(round(p_value,3))
#Ha Parameter10 plays a role in signal Strength
0.0
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 11'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 11'>
statistic,p_value = f_oneway(df[df['Signal_Strength']==5]['Parameter 11'],df[df['Signal_Strength']==6]['Parameter 11'],df[df['Signal_Strength']==7]['Parameter 11'],df[df['Signal_Strength']==4]['Parameter 11'],df[df['Signal_Strength']==8]['Parameter 11'],df[df['Signal_Strength']==3]['Parameter 11'])
print(round(p_value,3))
#Ha Parameter11 plays a role in signal Strength
0.0
df1.corr()['Signal_Strength'].sort_values(ascending=False)
Signal_Strength 1.000000 Feature3 0.399274 Feature1 0.110349 Feature5 0.101539 Feature4 -0.044159 Feature2 -0.386802 Name: Signal_Strength, dtype: float64
df.corr()['Signal_Strength'].sort_values(ascending=False)
Signal_Strength 1.000000 Parameter 11 0.476166 Parameter 10 0.251397 Parameter 3 0.226373 Parameter 1 0.124052 Parameter 4 0.013732 Parameter 6 -0.050656 Parameter 9 -0.057731 Parameter 5 -0.128907 Parameter 8 -0.174919 Parameter 7 -0.185100 Parameter 2 -0.390558 Name: Signal_Strength, dtype: float64
X_train, X_test, y_train, y_test = train_test_split(df1.drop('Signal_Strength',axis=1), df1['Signal_Strength'], test_size=0.3, random_state=11)
def RMS_prop(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Momentum','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for m in Momentum:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
optimizer = optimizers.RMSprop(lr=l,momentum=m)
model1.compile(optimizer=optimizer,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Momentum':m,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
return model_metrics
data1 = RMS_prop('RMSprop')
Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.0126 - mean_absolute_error: 2.0126 - val_loss: 0.7351 - val_mean_absolute_error: 0.7351 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6902 - mean_absolute_error: 0.6902 - val_loss: 0.6461 - val_mean_absolute_error: 0.6461 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5763 - mean_absolute_error: 0.5763 - val_loss: 0.6233 - val_mean_absolute_error: 0.6233 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5781 - mean_absolute_error: 0.5781 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5486 - mean_absolute_error: 0.5486 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5440 - mean_absolute_error: 0.5440 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5344 - mean_absolute_error: 0.5344 - val_loss: 0.6253 - val_mean_absolute_error: 0.6253 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5833 - mean_absolute_error: 0.5833 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5298 - mean_absolute_error: 0.5298 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5187 - mean_absolute_error: 0.5187 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5177 - mean_absolute_error: 0.5177 - val_loss: 0.4891 - val_mean_absolute_error: 0.4891 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5581 - val_mean_absolute_error: 0.5581 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5515 - val_mean_absolute_error: 0.5515 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5538 - val_mean_absolute_error: 0.5538 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.6047 - val_mean_absolute_error: 0.6047 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5085 - mean_absolute_error: 0.5085 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5243 - val_mean_absolute_error: 0.5243 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4896 - mean_absolute_error: 0.4896 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5426 - val_mean_absolute_error: 0.5426 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.4778 - val_mean_absolute_error: 0.4778 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5470 - val_mean_absolute_error: 0.5470 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4800 - val_mean_absolute_error: 0.4800 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.4858 - val_mean_absolute_error: 0.4858 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4654 - val_mean_absolute_error: 0.4654 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4783 - val_mean_absolute_error: 0.4783 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.2348 - mean_absolute_error: 1.2348 - val_loss: 0.7937 - val_mean_absolute_error: 0.7937 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6650 - mean_absolute_error: 0.6650 - val_loss: 0.6337 - val_mean_absolute_error: 0.6337 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6109 - mean_absolute_error: 0.6109 - val_loss: 0.6218 - val_mean_absolute_error: 0.6218 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5750 - mean_absolute_error: 0.5750 - val_loss: 0.6596 - val_mean_absolute_error: 0.6596 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5703 - mean_absolute_error: 0.5703 - val_loss: 0.5945 - val_mean_absolute_error: 0.5945 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5567 - mean_absolute_error: 0.5567 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5537 - mean_absolute_error: 0.5537 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5452 - mean_absolute_error: 0.5452 - val_loss: 0.5225 - val_mean_absolute_error: 0.5225 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5339 - mean_absolute_error: 0.5339 - val_loss: 0.5918 - val_mean_absolute_error: 0.5918 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5453 - mean_absolute_error: 0.5453 - val_loss: 0.5512 - val_mean_absolute_error: 0.5512 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5430 - mean_absolute_error: 0.5430 - val_loss: 0.6402 - val_mean_absolute_error: 0.6402 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5300 - mean_absolute_error: 0.5300 - val_loss: 0.5603 - val_mean_absolute_error: 0.5603 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5258 - mean_absolute_error: 0.5258 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5263 - mean_absolute_error: 0.5263 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4992 - mean_absolute_error: 0.4992 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.5410 - val_mean_absolute_error: 0.5410 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5874 - val_mean_absolute_error: 0.5874 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4945 - mean_absolute_error: 0.4945 - val_loss: 0.4891 - val_mean_absolute_error: 0.4891 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5598 - val_mean_absolute_error: 0.5598 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.4892 - val_mean_absolute_error: 0.4892 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4854 - mean_absolute_error: 0.4854 - val_loss: 0.5670 - val_mean_absolute_error: 0.5670 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4572 - mean_absolute_error: 1.4572 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6374 - mean_absolute_error: 0.6374 - val_loss: 0.8344 - val_mean_absolute_error: 0.8344 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6462 - mean_absolute_error: 0.6462 - val_loss: 0.8239 - val_mean_absolute_error: 0.8239 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6200 - mean_absolute_error: 0.6200 - val_loss: 0.5771 - val_mean_absolute_error: 0.5771 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5990 - mean_absolute_error: 0.5990 - val_loss: 0.4875 - val_mean_absolute_error: 0.4875 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5679 - mean_absolute_error: 0.5679 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5626 - mean_absolute_error: 0.5626 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5772 - mean_absolute_error: 0.5772 - val_loss: 0.5549 - val_mean_absolute_error: 0.5549 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5677 - mean_absolute_error: 0.5677 - val_loss: 0.8435 - val_mean_absolute_error: 0.8435 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5585 - mean_absolute_error: 0.5585 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5426 - mean_absolute_error: 0.5426 - val_loss: 0.5225 - val_mean_absolute_error: 0.5225 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5443 - mean_absolute_error: 0.5443 - val_loss: 0.5543 - val_mean_absolute_error: 0.5543 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5332 - mean_absolute_error: 0.5332 - val_loss: 0.5547 - val_mean_absolute_error: 0.5547 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5537 - mean_absolute_error: 0.5537 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5347 - mean_absolute_error: 0.5347 - val_loss: 0.5829 - val_mean_absolute_error: 0.5829 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5354 - mean_absolute_error: 0.5354 - val_loss: 0.6068 - val_mean_absolute_error: 0.6068 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5409 - mean_absolute_error: 0.5409 - val_loss: 0.6054 - val_mean_absolute_error: 0.6054 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.7378 - val_mean_absolute_error: 0.7378 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5932 - val_mean_absolute_error: 0.5932 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5163 - mean_absolute_error: 0.5163 - val_loss: 0.6177 - val_mean_absolute_error: 0.6177 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.6351 - val_mean_absolute_error: 0.6351 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5102 - mean_absolute_error: 0.5102 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5830 - val_mean_absolute_error: 0.5830 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5761 - val_mean_absolute_error: 0.5761 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.4864 - val_mean_absolute_error: 0.4864 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5748 - val_mean_absolute_error: 0.5748 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5185 - mean_absolute_error: 0.5185 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5514 - val_mean_absolute_error: 0.5514 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.6439 - val_mean_absolute_error: 0.6439 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5052 - mean_absolute_error: 0.5052 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4963 - mean_absolute_error: 0.4963 - val_loss: 0.5235 - val_mean_absolute_error: 0.5235 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5348 - val_mean_absolute_error: 0.5348 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4911 - mean_absolute_error: 0.4911 - val_loss: 0.6389 - val_mean_absolute_error: 0.6389 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5007 - mean_absolute_error: 0.5007 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.6245 - val_mean_absolute_error: 0.6245 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.5155 - mean_absolute_error: 1.5155 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6697 - val_mean_absolute_error: 0.6697 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6693 - mean_absolute_error: 0.6693 - val_loss: 0.6812 - val_mean_absolute_error: 0.6812 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7151 - mean_absolute_error: 0.7151 - val_loss: 0.7174 - val_mean_absolute_error: 0.7174 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6979 - val_mean_absolute_error: 0.6979 Epoch 6/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.6949 - val_mean_absolute_error: 0.6949 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6859 - mean_absolute_error: 0.6859 - val_loss: 0.6674 - val_mean_absolute_error: 0.6674 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.6972 - val_mean_absolute_error: 0.6972 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6970 - mean_absolute_error: 0.6970 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6813 - mean_absolute_error: 0.6813 - val_loss: 0.6770 - val_mean_absolute_error: 0.6770 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7083 - mean_absolute_error: 0.7083 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6779 - mean_absolute_error: 0.6779 - val_loss: 0.7341 - val_mean_absolute_error: 0.7341 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.7070 - val_mean_absolute_error: 0.7070 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6928 - mean_absolute_error: 0.6928 - val_loss: 0.8003 - val_mean_absolute_error: 0.8003 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6961 - mean_absolute_error: 0.6961 - val_loss: 0.6864 - val_mean_absolute_error: 0.6864 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6947 - mean_absolute_error: 0.6947 - val_loss: 0.7213 - val_mean_absolute_error: 0.7213 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6840 - mean_absolute_error: 0.6840 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6844 - mean_absolute_error: 0.6844 - val_loss: 0.7148 - val_mean_absolute_error: 0.7148 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6918 - mean_absolute_error: 0.6918 - val_loss: 0.6665 - val_mean_absolute_error: 0.6665 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6809 - mean_absolute_error: 0.6809 - val_loss: 0.6990 - val_mean_absolute_error: 0.6990 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6892 - mean_absolute_error: 0.6892 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.6940 - val_mean_absolute_error: 0.6940 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6871 - mean_absolute_error: 0.6871 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.7300 - val_mean_absolute_error: 0.7300 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.7150 - val_mean_absolute_error: 0.7150 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6905 - mean_absolute_error: 0.6905 - val_loss: 0.6753 - val_mean_absolute_error: 0.6753 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6756 - mean_absolute_error: 0.6756 - val_loss: 0.7307 - val_mean_absolute_error: 0.7307 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7044 - mean_absolute_error: 0.7044 - val_loss: 0.7593 - val_mean_absolute_error: 0.7593 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6858 - mean_absolute_error: 0.6858 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7007 - mean_absolute_error: 0.7007 - val_loss: 0.6821 - val_mean_absolute_error: 0.6821 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6828 - mean_absolute_error: 0.6828 - val_loss: 0.6801 - val_mean_absolute_error: 0.6801 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6914 - mean_absolute_error: 0.6914 - val_loss: 0.7167 - val_mean_absolute_error: 0.7167 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7045 - mean_absolute_error: 0.7045 - val_loss: 0.6939 - val_mean_absolute_error: 0.6939 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.7192 - val_mean_absolute_error: 0.7192 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7066 - mean_absolute_error: 0.7066 - val_loss: 0.6870 - val_mean_absolute_error: 0.6870 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6683 - mean_absolute_error: 0.6683 - val_loss: 0.6899 - val_mean_absolute_error: 0.6899 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6973 - mean_absolute_error: 0.6973 - val_loss: 0.6621 - val_mean_absolute_error: 0.6621 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.7005 - val_mean_absolute_error: 0.7005 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6841 - mean_absolute_error: 0.6841 - val_loss: 0.6579 - val_mean_absolute_error: 0.6579 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6881 - mean_absolute_error: 0.6881 - val_loss: 0.6720 - val_mean_absolute_error: 0.6720 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6858 - mean_absolute_error: 0.6858 - val_loss: 0.6903 - val_mean_absolute_error: 0.6903 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.7293 - val_mean_absolute_error: 0.7293 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6838 - mean_absolute_error: 0.6838 - val_loss: 0.6670 - val_mean_absolute_error: 0.6670 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6914 - mean_absolute_error: 0.6914 - val_loss: 0.6727 - val_mean_absolute_error: 0.6727 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.6908 - val_mean_absolute_error: 0.6908 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6976 - mean_absolute_error: 0.6976 - val_loss: 0.6677 - val_mean_absolute_error: 0.6677 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7083 - mean_absolute_error: 0.7083 - val_loss: 0.6691 - val_mean_absolute_error: 0.6691 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7023 - mean_absolute_error: 0.7023 - val_loss: 0.6805 - val_mean_absolute_error: 0.6805 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6859 - val_mean_absolute_error: 0.6859 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9541 - mean_absolute_error: 1.9541 - val_loss: 0.6356 - val_mean_absolute_error: 0.6356 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6310 - mean_absolute_error: 0.6310 - val_loss: 0.6198 - val_mean_absolute_error: 0.6198 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6110 - mean_absolute_error: 0.6110 - val_loss: 0.5878 - val_mean_absolute_error: 0.5878 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6835 - mean_absolute_error: 0.6835 - val_loss: 0.5698 - val_mean_absolute_error: 0.5698 Epoch 5/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6384 - mean_absolute_error: 0.6384 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6206 - mean_absolute_error: 0.6206 - val_loss: 0.6262 - val_mean_absolute_error: 0.6262 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7837 - mean_absolute_error: 0.7837 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7238 - mean_absolute_error: 0.7238 - val_loss: 0.6941 - val_mean_absolute_error: 0.6941 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6579 - mean_absolute_error: 0.6579 - val_loss: 0.5270 - val_mean_absolute_error: 0.5270 Epoch 10/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6349 - mean_absolute_error: 0.6349 - val_loss: 0.6037 - val_mean_absolute_error: 0.6037 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5606 - mean_absolute_error: 0.5606 - val_loss: 0.5646 - val_mean_absolute_error: 0.5646 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5701 - mean_absolute_error: 0.5701 - val_loss: 0.5604 - val_mean_absolute_error: 0.5604 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5542 - mean_absolute_error: 0.5542 - val_loss: 0.6242 - val_mean_absolute_error: 0.6242 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7107 - mean_absolute_error: 0.7107 - val_loss: 0.7246 - val_mean_absolute_error: 0.7246 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.6753 - val_mean_absolute_error: 0.6753 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6794 - mean_absolute_error: 0.6794 - val_loss: 0.6573 - val_mean_absolute_error: 0.6573 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6840 - mean_absolute_error: 0.6840 - val_loss: 0.6707 - val_mean_absolute_error: 0.6707 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6864 - mean_absolute_error: 0.6864 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6748 - mean_absolute_error: 0.6748 - val_loss: 0.6976 - val_mean_absolute_error: 0.6976 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6979 - mean_absolute_error: 0.6979 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.6744 - val_mean_absolute_error: 0.6744 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6780 - mean_absolute_error: 0.6780 - val_loss: 0.6728 - val_mean_absolute_error: 0.6728 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.6930 - val_mean_absolute_error: 0.6930 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6759 - mean_absolute_error: 0.6759 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6841 - mean_absolute_error: 0.6841 - val_loss: 0.6586 - val_mean_absolute_error: 0.6586 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6788 - mean_absolute_error: 0.6788 - val_loss: 0.6637 - val_mean_absolute_error: 0.6637 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6804 - mean_absolute_error: 0.6804 - val_loss: 0.6744 - val_mean_absolute_error: 0.6744 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6795 - mean_absolute_error: 0.6795 - val_loss: 0.6696 - val_mean_absolute_error: 0.6696 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6815 - mean_absolute_error: 0.6815 - val_loss: 0.6735 - val_mean_absolute_error: 0.6735 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6812 - mean_absolute_error: 0.6812 - val_loss: 0.6812 - val_mean_absolute_error: 0.6812 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6869 - mean_absolute_error: 0.6869 - val_loss: 0.6919 - val_mean_absolute_error: 0.6919 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6708 - mean_absolute_error: 0.6708 - val_loss: 0.7079 - val_mean_absolute_error: 0.7079 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6939 - mean_absolute_error: 0.6939 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6846 - mean_absolute_error: 0.6846 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6792 - mean_absolute_error: 0.6792 - val_loss: 0.6733 - val_mean_absolute_error: 0.6733 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6791 - mean_absolute_error: 0.6791 - val_loss: 0.6804 - val_mean_absolute_error: 0.6804 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.6665 - val_mean_absolute_error: 0.6665 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6798 - mean_absolute_error: 0.6798 - val_loss: 0.7111 - val_mean_absolute_error: 0.7111 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6816 - mean_absolute_error: 0.6816 - val_loss: 0.6582 - val_mean_absolute_error: 0.6582 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6768 - mean_absolute_error: 0.6768 - val_loss: 0.6865 - val_mean_absolute_error: 0.6865 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6845 - mean_absolute_error: 0.6845 - val_loss: 0.6748 - val_mean_absolute_error: 0.6748 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6758 - mean_absolute_error: 0.6758 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6835 - mean_absolute_error: 0.6835 - val_loss: 0.6658 - val_mean_absolute_error: 0.6658 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6546 - val_mean_absolute_error: 0.6546 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6868 - mean_absolute_error: 0.6868 - val_loss: 0.6896 - val_mean_absolute_error: 0.6896 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6821 - mean_absolute_error: 0.6821 - val_loss: 0.6688 - val_mean_absolute_error: 0.6688 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6829 - mean_absolute_error: 0.6829 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.5733 - mean_absolute_error: 1.5733 - val_loss: 0.7715 - val_mean_absolute_error: 0.7715 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7064 - mean_absolute_error: 0.7064 - val_loss: 0.6204 - val_mean_absolute_error: 0.6204 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.5677 - val_mean_absolute_error: 0.5677 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6438 - mean_absolute_error: 0.6438 - val_loss: 0.8174 - val_mean_absolute_error: 0.8174 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6389 - mean_absolute_error: 0.6389 - val_loss: 0.5901 - val_mean_absolute_error: 0.5901 Epoch 6/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6580 - mean_absolute_error: 0.6580 - val_loss: 0.5528 - val_mean_absolute_error: 0.5528 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6273 - mean_absolute_error: 0.6273 - val_loss: 0.9822 - val_mean_absolute_error: 0.9822 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6672 - mean_absolute_error: 0.6672 - val_loss: 1.0622 - val_mean_absolute_error: 1.0622 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6078 - mean_absolute_error: 0.6078 - val_loss: 0.7517 - val_mean_absolute_error: 0.7517 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6189 - mean_absolute_error: 0.6189 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5882 - mean_absolute_error: 0.5882 - val_loss: 0.5941 - val_mean_absolute_error: 0.5941 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5860 - mean_absolute_error: 0.5860 - val_loss: 0.5899 - val_mean_absolute_error: 0.5899 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5919 - mean_absolute_error: 0.5919 - val_loss: 0.5397 - val_mean_absolute_error: 0.5397 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5931 - mean_absolute_error: 0.5931 - val_loss: 0.5798 - val_mean_absolute_error: 0.5798 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5964 - mean_absolute_error: 0.5964 - val_loss: 0.5644 - val_mean_absolute_error: 0.5644 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5772 - mean_absolute_error: 0.5772 - val_loss: 0.5702 - val_mean_absolute_error: 0.5702 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5860 - mean_absolute_error: 0.5860 - val_loss: 0.6131 - val_mean_absolute_error: 0.6131 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5846 - mean_absolute_error: 0.5846 - val_loss: 0.5604 - val_mean_absolute_error: 0.5604 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5680 - mean_absolute_error: 0.5680 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5609 - mean_absolute_error: 0.5609 - val_loss: 0.5582 - val_mean_absolute_error: 0.5582 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5610 - mean_absolute_error: 0.5610 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5555 - mean_absolute_error: 0.5555 - val_loss: 0.6464 - val_mean_absolute_error: 0.6464 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5739 - mean_absolute_error: 0.5739 - val_loss: 0.5590 - val_mean_absolute_error: 0.5590 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5562 - mean_absolute_error: 0.5562 - val_loss: 0.5531 - val_mean_absolute_error: 0.5531 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5654 - mean_absolute_error: 0.5654 - val_loss: 0.5376 - val_mean_absolute_error: 0.5376 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5786 - mean_absolute_error: 0.5786 - val_loss: 0.5971 - val_mean_absolute_error: 0.5971 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5547 - mean_absolute_error: 0.5547 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5535 - mean_absolute_error: 0.5535 - val_loss: 0.7016 - val_mean_absolute_error: 0.7016 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5503 - mean_absolute_error: 0.5503 - val_loss: 0.6062 - val_mean_absolute_error: 0.6062 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5792 - val_mean_absolute_error: 0.5792 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5495 - mean_absolute_error: 0.5495 - val_loss: 0.6272 - val_mean_absolute_error: 0.6272 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5460 - mean_absolute_error: 0.5460 - val_loss: 0.5578 - val_mean_absolute_error: 0.5578 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5613 - mean_absolute_error: 0.5613 - val_loss: 0.5765 - val_mean_absolute_error: 0.5765 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5642 - mean_absolute_error: 0.5642 - val_loss: 0.6427 - val_mean_absolute_error: 0.6427 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5485 - mean_absolute_error: 0.5485 - val_loss: 0.5894 - val_mean_absolute_error: 0.5894 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5297 - mean_absolute_error: 0.5297 - val_loss: 0.5755 - val_mean_absolute_error: 0.5755 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5796 - mean_absolute_error: 0.5796 - val_loss: 0.7112 - val_mean_absolute_error: 0.7112 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5381 - mean_absolute_error: 0.5381 - val_loss: 0.6482 - val_mean_absolute_error: 0.6482 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5569 - mean_absolute_error: 0.5569 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5377 - mean_absolute_error: 0.5377 - val_loss: 0.6081 - val_mean_absolute_error: 0.6081 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5419 - mean_absolute_error: 0.5419 - val_loss: 0.6119 - val_mean_absolute_error: 0.6119 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5450 - mean_absolute_error: 0.5450 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5620 - mean_absolute_error: 0.5620 - val_loss: 0.6030 - val_mean_absolute_error: 0.6030 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5376 - mean_absolute_error: 0.5376 - val_loss: 0.5690 - val_mean_absolute_error: 0.5690 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5370 - mean_absolute_error: 0.5370 - val_loss: 0.6880 - val_mean_absolute_error: 0.6880 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5476 - mean_absolute_error: 0.5476 - val_loss: 0.6271 - val_mean_absolute_error: 0.6271 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5378 - mean_absolute_error: 0.5378 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5311 - mean_absolute_error: 0.5311 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 120.2728 - mean_absolute_error: 120.2728 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 4.0156 - mean_absolute_error: 4.0156 - val_loss: 2.5895 - val_mean_absolute_error: 2.5895 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8369 - mean_absolute_error: 1.8369 - val_loss: 1.3547 - val_mean_absolute_error: 1.3547 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0935 - mean_absolute_error: 1.0935 - val_loss: 1.0500 - val_mean_absolute_error: 1.0500 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9008 - mean_absolute_error: 0.9008 - val_loss: 0.8960 - val_mean_absolute_error: 0.8960 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7745 - mean_absolute_error: 0.7745 - val_loss: 0.7763 - val_mean_absolute_error: 0.7763 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6821 - mean_absolute_error: 0.6821 - val_loss: 0.7058 - val_mean_absolute_error: 0.7058 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6205 - mean_absolute_error: 0.6205 - val_loss: 0.6439 - val_mean_absolute_error: 0.6439 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5762 - mean_absolute_error: 0.5762 - val_loss: 0.6106 - val_mean_absolute_error: 0.6106 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5495 - mean_absolute_error: 0.5495 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5448 - mean_absolute_error: 0.5448 - val_loss: 0.5664 - val_mean_absolute_error: 0.5664 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5282 - mean_absolute_error: 0.5282 - val_loss: 0.5598 - val_mean_absolute_error: 0.5598 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5196 - mean_absolute_error: 0.5196 - val_loss: 0.5585 - val_mean_absolute_error: 0.5585 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5688 - val_mean_absolute_error: 0.5688 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5658 - val_mean_absolute_error: 0.5658 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5281 - val_mean_absolute_error: 0.5281 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4919 - mean_absolute_error: 0.4919 - val_loss: 0.5241 - val_mean_absolute_error: 0.5241 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5751 - val_mean_absolute_error: 0.5751 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 26/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 27/50 35/35 [==============================] - ETA: 0s - loss: 0.4601 - mean_absolute_error: 0.460 - 0s 3ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 29/50 35/35 [==============================] - 0s 4ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4849 - mean_absolute_error: 0.4849 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5242 - val_mean_absolute_error: 0.5242 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 38/50 35/35 [==============================] - 0s 4ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.5527 - val_mean_absolute_error: 0.5527 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5371 - val_mean_absolute_error: 0.5371 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5378 - val_mean_absolute_error: 0.5378 Epoch 47/50 35/35 [==============================] - 0s 4ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 48/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 49/50 35/35 [==============================] - 0s 4ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 50/50 35/35 [==============================] - 0s 4ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 11ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.0637 - mean_absolute_error: 2.0637 - val_loss: 1.1054 - val_mean_absolute_error: 1.1054 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8774 - mean_absolute_error: 0.8774 - val_loss: 0.7820 - val_mean_absolute_error: 0.7820 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.7473 - val_mean_absolute_error: 0.7473 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6094 - mean_absolute_error: 0.6094 - val_loss: 0.6219 - val_mean_absolute_error: 0.6219 Epoch 5/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5609 - mean_absolute_error: 0.5609 - val_loss: 0.5922 - val_mean_absolute_error: 0.5922 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5422 - mean_absolute_error: 0.5422 - val_loss: 0.5657 - val_mean_absolute_error: 0.5657 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5408 - mean_absolute_error: 0.5408 - val_loss: 0.5422 - val_mean_absolute_error: 0.5422 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5278 - mean_absolute_error: 0.5278 - val_loss: 0.5357 - val_mean_absolute_error: 0.5357 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5233 - mean_absolute_error: 0.5233 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5135 - mean_absolute_error: 0.5135 - val_loss: 0.6171 - val_mean_absolute_error: 0.6171 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5115 - mean_absolute_error: 0.5115 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.5681 - val_mean_absolute_error: 0.5681 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5127 - mean_absolute_error: 0.5127 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5225 - val_mean_absolute_error: 0.5225 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5059 - mean_absolute_error: 0.5059 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5235 - val_mean_absolute_error: 0.5235 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5571 - val_mean_absolute_error: 0.5571 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5052 - mean_absolute_error: 0.5052 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5073 - mean_absolute_error: 0.5073 - val_loss: 0.6114 - val_mean_absolute_error: 0.6114 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5558 - val_mean_absolute_error: 0.5558 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4924 - mean_absolute_error: 0.4924 - val_loss: 0.5328 - val_mean_absolute_error: 0.5328 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4911 - mean_absolute_error: 0.4911 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5939 - val_mean_absolute_error: 0.5939 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4939 - mean_absolute_error: 0.4939 - val_loss: 0.5313 - val_mean_absolute_error: 0.5313 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.6343 - val_mean_absolute_error: 0.6343 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5378 - val_mean_absolute_error: 0.5378 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4978 - mean_absolute_error: 0.4978 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5230 - val_mean_absolute_error: 0.5230 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5276 - val_mean_absolute_error: 0.5276 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.5648 - val_mean_absolute_error: 0.5648 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5507 - val_mean_absolute_error: 0.5507 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5450 - val_mean_absolute_error: 0.5450 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326
def RMS_prop(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Momentum','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for m in Momentum:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
optimizer = optimizers.RMSprop(lr=l,momentum=m)
model1.compile(optimizer=optimizer,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Momentum':m,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data2 = RMS_prop('RMSprop')
Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.9769 - mean_absolute_error: 1.9769 - val_loss: 0.7686 - val_mean_absolute_error: 0.7686 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6070 - mean_absolute_error: 0.6070 - val_loss: 0.5841 - val_mean_absolute_error: 0.5841 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5743 - mean_absolute_error: 0.5743 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5326 - mean_absolute_error: 0.5326 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5399 - mean_absolute_error: 0.5399 - val_loss: 0.5790 - val_mean_absolute_error: 0.5790 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5307 - mean_absolute_error: 0.5307 - val_loss: 0.5603 - val_mean_absolute_error: 0.5603 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5567 - mean_absolute_error: 0.5567 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5137 - mean_absolute_error: 0.5137 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5330 - mean_absolute_error: 0.5330 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.5587 - val_mean_absolute_error: 0.5587 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5365 - val_mean_absolute_error: 0.5365 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5519 - val_mean_absolute_error: 0.5519 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5782 - val_mean_absolute_error: 0.5782 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5237 - mean_absolute_error: 0.5237 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5693 - val_mean_absolute_error: 0.5693 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4965 - mean_absolute_error: 0.4965 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4985 - mean_absolute_error: 0.4985 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.4834 - val_mean_absolute_error: 0.4834 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5778 - val_mean_absolute_error: 0.5778 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4564 - mean_absolute_error: 0.4564 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5438 - val_mean_absolute_error: 0.5438 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4897 - val_mean_absolute_error: 0.4897 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4604 - mean_absolute_error: 0.4604 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4547 - mean_absolute_error: 0.4547 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.9369 - mean_absolute_error: 3.9369 - val_loss: 1.0864 - val_mean_absolute_error: 1.0864 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8211 - mean_absolute_error: 0.8211 - val_loss: 0.6871 - val_mean_absolute_error: 0.6871 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5875 - mean_absolute_error: 0.5875 - val_loss: 0.7300 - val_mean_absolute_error: 0.7300 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5812 - mean_absolute_error: 0.5812 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5605 - mean_absolute_error: 0.5605 - val_loss: 0.5525 - val_mean_absolute_error: 0.5525 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5517 - mean_absolute_error: 0.5517 - val_loss: 0.7985 - val_mean_absolute_error: 0.7985 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5619 - mean_absolute_error: 0.5619 - val_loss: 0.5903 - val_mean_absolute_error: 0.5903 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5626 - mean_absolute_error: 0.5626 - val_loss: 0.5653 - val_mean_absolute_error: 0.5653 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5525 - mean_absolute_error: 0.5525 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5396 - mean_absolute_error: 0.5396 - val_loss: 0.5465 - val_mean_absolute_error: 0.5465 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5317 - mean_absolute_error: 0.5317 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5243 - mean_absolute_error: 0.5243 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5133 - mean_absolute_error: 0.5133 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5466 - val_mean_absolute_error: 0.5466 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5386 - mean_absolute_error: 0.5386 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.6363 - val_mean_absolute_error: 0.6363 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5109 - mean_absolute_error: 0.5109 - val_loss: 0.5607 - val_mean_absolute_error: 0.5607 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5274 - val_mean_absolute_error: 0.5274 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5433 - val_mean_absolute_error: 0.5433 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5532 - val_mean_absolute_error: 0.5532 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5742 - val_mean_absolute_error: 0.5742 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5391 - val_mean_absolute_error: 0.5391 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4920 - mean_absolute_error: 0.4920 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.4846 - val_mean_absolute_error: 0.4846 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5628 - val_mean_absolute_error: 0.5628 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5468 - val_mean_absolute_error: 0.5468 Epoch 50/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 1.8213 - mean_absolute_error: 1.8213 - val_loss: 0.6243 - val_mean_absolute_error: 0.6243 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6034 - mean_absolute_error: 0.6034 - val_loss: 0.5201 - val_mean_absolute_error: 0.5201 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6354 - mean_absolute_error: 0.6354 - val_loss: 0.8826 - val_mean_absolute_error: 0.8826 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6267 - mean_absolute_error: 0.6267 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5865 - mean_absolute_error: 0.5865 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5800 - mean_absolute_error: 0.5800 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5513 - mean_absolute_error: 0.5513 - val_loss: 0.6084 - val_mean_absolute_error: 0.6084 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5694 - mean_absolute_error: 0.5694 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5560 - mean_absolute_error: 0.5560 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5570 - mean_absolute_error: 0.5570 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5799 - mean_absolute_error: 0.5799 - val_loss: 0.7378 - val_mean_absolute_error: 0.7378 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5521 - mean_absolute_error: 0.5521 - val_loss: 0.5357 - val_mean_absolute_error: 0.5357 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5380 - mean_absolute_error: 0.5380 - val_loss: 0.5441 - val_mean_absolute_error: 0.5441 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5585 - mean_absolute_error: 0.5585 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5375 - mean_absolute_error: 0.5375 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5470 - mean_absolute_error: 0.5470 - val_loss: 0.6399 - val_mean_absolute_error: 0.6399 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5393 - mean_absolute_error: 0.5393 - val_loss: 0.5265 - val_mean_absolute_error: 0.5265 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5360 - mean_absolute_error: 0.5360 - val_loss: 0.5906 - val_mean_absolute_error: 0.5906 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5450 - mean_absolute_error: 0.5450 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.8287 - val_mean_absolute_error: 0.8287 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5678 - mean_absolute_error: 0.5678 - val_loss: 0.6578 - val_mean_absolute_error: 0.6578 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5882 - mean_absolute_error: 0.5882 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5655 - mean_absolute_error: 0.5655 - val_loss: 0.6142 - val_mean_absolute_error: 0.6142 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5564 - mean_absolute_error: 0.5564 - val_loss: 0.7333 - val_mean_absolute_error: 0.7333 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5399 - mean_absolute_error: 0.5399 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5283 - mean_absolute_error: 0.5283 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5372 - mean_absolute_error: 0.5372 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5249 - mean_absolute_error: 0.5249 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5248 - mean_absolute_error: 0.5248 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5497 - mean_absolute_error: 0.5497 - val_loss: 0.5469 - val_mean_absolute_error: 0.5469 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5429 - mean_absolute_error: 0.5429 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5387 - mean_absolute_error: 0.5387 - val_loss: 0.5614 - val_mean_absolute_error: 0.5614 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5294 - mean_absolute_error: 0.5294 - val_loss: 0.6062 - val_mean_absolute_error: 0.6062 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5650 - val_mean_absolute_error: 0.5650 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5408 - mean_absolute_error: 0.5408 - val_loss: 0.6202 - val_mean_absolute_error: 0.6202 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5299 - mean_absolute_error: 0.5299 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5460 - mean_absolute_error: 0.5460 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5942 - mean_absolute_error: 0.5942 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5653 - mean_absolute_error: 0.5653 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5493 - mean_absolute_error: 0.5493 - val_loss: 0.6085 - val_mean_absolute_error: 0.6085 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5260 - mean_absolute_error: 0.5260 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5697 - mean_absolute_error: 0.5697 - val_loss: 0.5526 - val_mean_absolute_error: 0.5526 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5357 - mean_absolute_error: 0.5357 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.7093 - val_mean_absolute_error: 0.7093 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5669 - mean_absolute_error: 0.5669 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5374 - mean_absolute_error: 0.5374 - val_loss: 0.6730 - val_mean_absolute_error: 0.6730 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5635 - mean_absolute_error: 0.5635 - val_loss: 0.6999 - val_mean_absolute_error: 0.6999 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6006 - mean_absolute_error: 0.6006 - val_loss: 0.5517 - val_mean_absolute_error: 0.5517 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.0742 - mean_absolute_error: 1.0742 - val_loss: 0.7537 - val_mean_absolute_error: 0.7537 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5936 - mean_absolute_error: 0.5936 - val_loss: 0.5384 - val_mean_absolute_error: 0.5384 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5568 - mean_absolute_error: 0.5568 - val_loss: 0.6266 - val_mean_absolute_error: 0.6266 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5807 - mean_absolute_error: 0.5807 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5706 - mean_absolute_error: 0.5706 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5617 - mean_absolute_error: 0.5617 - val_loss: 0.5715 - val_mean_absolute_error: 0.5715 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5628 - mean_absolute_error: 0.5628 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5417 - mean_absolute_error: 0.5417 - val_loss: 0.5659 - val_mean_absolute_error: 0.5659 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5420 - mean_absolute_error: 0.5420 - val_loss: 0.5663 - val_mean_absolute_error: 0.5663 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.6009 - val_mean_absolute_error: 0.6009 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5531 - mean_absolute_error: 0.5531 - val_loss: 0.5534 - val_mean_absolute_error: 0.5534 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5469 - mean_absolute_error: 0.5469 - val_loss: 0.5464 - val_mean_absolute_error: 0.5464 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5323 - mean_absolute_error: 0.5323 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5429 - mean_absolute_error: 0.5429 - val_loss: 0.5218 - val_mean_absolute_error: 0.5218 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5110 - mean_absolute_error: 0.5110 - val_loss: 0.5515 - val_mean_absolute_error: 0.5515 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5505 - mean_absolute_error: 0.5505 - val_loss: 0.5519 - val_mean_absolute_error: 0.5519 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.4759 - val_mean_absolute_error: 0.4759 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5349 - mean_absolute_error: 0.5349 - val_loss: 0.7049 - val_mean_absolute_error: 0.7049 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5562 - mean_absolute_error: 0.5562 - val_loss: 0.6730 - val_mean_absolute_error: 0.6730 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5376 - mean_absolute_error: 0.5376 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5108 - mean_absolute_error: 0.5108 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5371 - mean_absolute_error: 0.5371 - val_loss: 0.5703 - val_mean_absolute_error: 0.5703 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5287 - mean_absolute_error: 0.5287 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.7115 - val_mean_absolute_error: 0.7115 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5402 - mean_absolute_error: 0.5402 - val_loss: 0.5288 - val_mean_absolute_error: 0.5288 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5121 - mean_absolute_error: 0.5121 - val_loss: 0.4824 - val_mean_absolute_error: 0.4824 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5232 - mean_absolute_error: 0.5232 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5274 - mean_absolute_error: 0.5274 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5383 - mean_absolute_error: 0.5383 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5122 - mean_absolute_error: 0.5122 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.6169 - val_mean_absolute_error: 0.6169 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.4837 - val_mean_absolute_error: 0.4837 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4980 - mean_absolute_error: 0.4980 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5221 - mean_absolute_error: 0.5221 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5586 - val_mean_absolute_error: 0.5586 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.4794 - val_mean_absolute_error: 0.4794 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4688 - val_mean_absolute_error: 0.4688 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.2983 - mean_absolute_error: 1.2983 - val_loss: 0.8682 - val_mean_absolute_error: 0.8682 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6328 - mean_absolute_error: 0.6328 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5930 - mean_absolute_error: 0.5930 - val_loss: 0.6952 - val_mean_absolute_error: 0.6952 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6053 - mean_absolute_error: 0.6053 - val_loss: 0.6274 - val_mean_absolute_error: 0.6274 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6067 - mean_absolute_error: 0.6067 - val_loss: 0.5483 - val_mean_absolute_error: 0.5483 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5591 - mean_absolute_error: 0.5591 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5786 - mean_absolute_error: 0.5786 - val_loss: 0.5443 - val_mean_absolute_error: 0.5443 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5540 - mean_absolute_error: 0.5540 - val_loss: 0.5634 - val_mean_absolute_error: 0.5634 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5456 - mean_absolute_error: 0.5456 - val_loss: 0.5524 - val_mean_absolute_error: 0.5524 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5527 - mean_absolute_error: 0.5527 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5265 - mean_absolute_error: 0.5265 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5399 - mean_absolute_error: 0.5399 - val_loss: 0.7679 - val_mean_absolute_error: 0.7679 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5648 - mean_absolute_error: 0.5648 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5076 - mean_absolute_error: 0.5076 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5183 - mean_absolute_error: 0.5183 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5834 - val_mean_absolute_error: 0.5834 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5182 - mean_absolute_error: 0.5182 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5549 - mean_absolute_error: 0.5549 - val_loss: 0.5505 - val_mean_absolute_error: 0.5505 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5506 - val_mean_absolute_error: 0.5506 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5187 - mean_absolute_error: 0.5187 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5122 - mean_absolute_error: 0.5122 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5166 - mean_absolute_error: 0.5166 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5831 - val_mean_absolute_error: 0.5831 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5750 - val_mean_absolute_error: 0.5750 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.6773 - val_mean_absolute_error: 0.6773 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.6010 - val_mean_absolute_error: 0.6010 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.4730 - val_mean_absolute_error: 0.4730 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 37/50 35/35 [==============================] - 0s 4ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5225 - val_mean_absolute_error: 0.5225 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5042 - mean_absolute_error: 0.5042 - val_loss: 0.4809 - val_mean_absolute_error: 0.4809 Epoch 39/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5102 - mean_absolute_error: 0.5102 - val_loss: 0.6692 - val_mean_absolute_error: 0.6692 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5444 - val_mean_absolute_error: 0.5444 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5232 - val_mean_absolute_error: 0.5232 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5059 - mean_absolute_error: 0.5059 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4945 - mean_absolute_error: 0.4945 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5632 - val_mean_absolute_error: 0.5632 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 11ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.3467 - mean_absolute_error: 1.3467 - val_loss: 0.8436 - val_mean_absolute_error: 0.8436 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6357 - mean_absolute_error: 0.6357 - val_loss: 0.7577 - val_mean_absolute_error: 0.7577 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7063 - mean_absolute_error: 0.7063 - val_loss: 0.6859 - val_mean_absolute_error: 0.6859 Epoch 4/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7175 - mean_absolute_error: 0.7175 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 5/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7451 - mean_absolute_error: 0.7451 - val_loss: 0.7089 - val_mean_absolute_error: 0.7089 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7337 - mean_absolute_error: 0.7337 - val_loss: 0.6799 - val_mean_absolute_error: 0.6799 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7173 - mean_absolute_error: 0.7173 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7183 - mean_absolute_error: 0.7183 - val_loss: 0.6716 - val_mean_absolute_error: 0.6716 Epoch 9/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7501 - mean_absolute_error: 0.7501 - val_loss: 0.6904 - val_mean_absolute_error: 0.6904 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7343 - mean_absolute_error: 0.7343 - val_loss: 0.6666 - val_mean_absolute_error: 0.6666 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7175 - mean_absolute_error: 0.7175 - val_loss: 0.7323 - val_mean_absolute_error: 0.7323 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7460 - mean_absolute_error: 0.7460 - val_loss: 0.6640 - val_mean_absolute_error: 0.6640 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7010 - mean_absolute_error: 0.7010 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7069 - mean_absolute_error: 0.7069 - val_loss: 0.7123 - val_mean_absolute_error: 0.7123 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7256 - mean_absolute_error: 0.7256 - val_loss: 0.7249 - val_mean_absolute_error: 0.7249 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7112 - mean_absolute_error: 0.7112 - val_loss: 0.7135 - val_mean_absolute_error: 0.7135 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7005 - mean_absolute_error: 0.7005 - val_loss: 0.6695 - val_mean_absolute_error: 0.6695 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6961 - mean_absolute_error: 0.6961 - val_loss: 0.6852 - val_mean_absolute_error: 0.6852 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7026 - mean_absolute_error: 0.7026 - val_loss: 0.6609 - val_mean_absolute_error: 0.6609 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6994 - mean_absolute_error: 0.6994 - val_loss: 0.7058 - val_mean_absolute_error: 0.7058 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6961 - mean_absolute_error: 0.6961 - val_loss: 0.6603 - val_mean_absolute_error: 0.6603 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7004 - mean_absolute_error: 0.7004 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6853 - mean_absolute_error: 0.6853 - val_loss: 0.6634 - val_mean_absolute_error: 0.6634 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6786 - mean_absolute_error: 0.6786 - val_loss: 0.6665 - val_mean_absolute_error: 0.6665 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6786 - mean_absolute_error: 0.6786 - val_loss: 0.6930 - val_mean_absolute_error: 0.6930 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.6746 - val_mean_absolute_error: 0.6746 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6816 - mean_absolute_error: 0.6816 - val_loss: 0.7083 - val_mean_absolute_error: 0.7083 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6712 - val_mean_absolute_error: 0.6712 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6757 - mean_absolute_error: 0.6757 - val_loss: 0.6760 - val_mean_absolute_error: 0.6760 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6890 - mean_absolute_error: 0.6890 - val_loss: 0.6596 - val_mean_absolute_error: 0.6596 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6936 - mean_absolute_error: 0.6936 - val_loss: 0.6660 - val_mean_absolute_error: 0.6660 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.6697 - val_mean_absolute_error: 0.6697 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6795 - mean_absolute_error: 0.6795 - val_loss: 0.6712 - val_mean_absolute_error: 0.6712 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6755 - mean_absolute_error: 0.6755 - val_loss: 0.6701 - val_mean_absolute_error: 0.6701 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6836 - mean_absolute_error: 0.6836 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6609 - val_mean_absolute_error: 0.6609 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6759 - mean_absolute_error: 0.6759 - val_loss: 0.6742 - val_mean_absolute_error: 0.6742 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6757 - mean_absolute_error: 0.6757 - val_loss: 0.6722 - val_mean_absolute_error: 0.6722 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6844 - mean_absolute_error: 0.6844 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6813 - mean_absolute_error: 0.6813 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6823 - mean_absolute_error: 0.6823 - val_loss: 0.6744 - val_mean_absolute_error: 0.6744 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.6810 - val_mean_absolute_error: 0.6810 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.6678 - val_mean_absolute_error: 0.6678 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6822 - mean_absolute_error: 0.6822 - val_loss: 0.6826 - val_mean_absolute_error: 0.6826 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6777 - mean_absolute_error: 0.6777 - val_loss: 0.6888 - val_mean_absolute_error: 0.6888 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6994 - mean_absolute_error: 0.6994 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6779 - mean_absolute_error: 0.6779 - val_loss: 0.6612 - val_mean_absolute_error: 0.6612 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6778 - mean_absolute_error: 0.6778 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6632 - val_mean_absolute_error: 0.6632 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6823 - mean_absolute_error: 0.6823 - val_loss: 0.6773 - val_mean_absolute_error: 0.6773 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3935 - mean_absolute_error: 1.3935 - val_loss: 1.6459 - val_mean_absolute_error: 1.6459 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8805 - mean_absolute_error: 0.8805 - val_loss: 0.7943 - val_mean_absolute_error: 0.7943 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6416 - mean_absolute_error: 0.6416 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6503 - mean_absolute_error: 0.6503 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6288 - mean_absolute_error: 0.6288 - val_loss: 0.5692 - val_mean_absolute_error: 0.5692 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6285 - mean_absolute_error: 0.6285 - val_loss: 0.7359 - val_mean_absolute_error: 0.7359 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6293 - mean_absolute_error: 0.6293 - val_loss: 0.6564 - val_mean_absolute_error: 0.6564 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6024 - mean_absolute_error: 0.6024 - val_loss: 0.6250 - val_mean_absolute_error: 0.6250 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6120 - mean_absolute_error: 0.6120 - val_loss: 0.5682 - val_mean_absolute_error: 0.5682 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5984 - mean_absolute_error: 0.5984 - val_loss: 0.6540 - val_mean_absolute_error: 0.6540 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6853 - mean_absolute_error: 0.6853 - val_loss: 0.6695 - val_mean_absolute_error: 0.6695 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7112 - mean_absolute_error: 0.7112 - val_loss: 0.7120 - val_mean_absolute_error: 0.7120 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6879 - mean_absolute_error: 0.6879 - val_loss: 0.6965 - val_mean_absolute_error: 0.6965 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6915 - mean_absolute_error: 0.6915 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7123 - mean_absolute_error: 0.7123 - val_loss: 0.6938 - val_mean_absolute_error: 0.6938 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6977 - mean_absolute_error: 0.6977 - val_loss: 0.7043 - val_mean_absolute_error: 0.7043 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7101 - mean_absolute_error: 0.7101 - val_loss: 0.7080 - val_mean_absolute_error: 0.7080 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6957 - mean_absolute_error: 0.6957 - val_loss: 0.6957 - val_mean_absolute_error: 0.6957 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6965 - mean_absolute_error: 0.6965 - val_loss: 0.6911 - val_mean_absolute_error: 0.6911 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6996 - mean_absolute_error: 0.6996 - val_loss: 0.6867 - val_mean_absolute_error: 0.6867 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6811 - val_mean_absolute_error: 0.6811 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6793 - mean_absolute_error: 0.6793 - val_loss: 0.6923 - val_mean_absolute_error: 0.6923 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6856 - mean_absolute_error: 0.6856 - val_loss: 0.7403 - val_mean_absolute_error: 0.7403 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.6859 - val_mean_absolute_error: 0.6859 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.6761 - val_mean_absolute_error: 0.6761 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6788 - mean_absolute_error: 0.6788 - val_loss: 0.6862 - val_mean_absolute_error: 0.6862 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6730 - mean_absolute_error: 0.6730 - val_loss: 0.6921 - val_mean_absolute_error: 0.6921 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6793 - mean_absolute_error: 0.6793 - val_loss: 0.6706 - val_mean_absolute_error: 0.6706 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.6587 - val_mean_absolute_error: 0.6587 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6763 - mean_absolute_error: 0.6763 - val_loss: 0.6710 - val_mean_absolute_error: 0.6710 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6832 - mean_absolute_error: 0.6832 - val_loss: 0.6897 - val_mean_absolute_error: 0.6897 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6744 - mean_absolute_error: 0.6744 - val_loss: 0.6879 - val_mean_absolute_error: 0.6879 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6805 - mean_absolute_error: 0.6805 - val_loss: 0.6626 - val_mean_absolute_error: 0.6626 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6749 - mean_absolute_error: 0.6749 - val_loss: 0.6585 - val_mean_absolute_error: 0.6585 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6569 - val_mean_absolute_error: 0.6569 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6763 - mean_absolute_error: 0.6763 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6788 - mean_absolute_error: 0.6788 - val_loss: 0.6828 - val_mean_absolute_error: 0.6828 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.6822 - val_mean_absolute_error: 0.6822 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6742 - mean_absolute_error: 0.6742 - val_loss: 0.6812 - val_mean_absolute_error: 0.6812 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6794 - mean_absolute_error: 0.6794 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6814 - mean_absolute_error: 0.6814 - val_loss: 0.7166 - val_mean_absolute_error: 0.7166 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6741 - mean_absolute_error: 0.6741 - val_loss: 0.6984 - val_mean_absolute_error: 0.6984 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6750 - mean_absolute_error: 0.6750 - val_loss: 0.6647 - val_mean_absolute_error: 0.6647 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.6660 - val_mean_absolute_error: 0.6660 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6781 - mean_absolute_error: 0.6781 - val_loss: 0.6817 - val_mean_absolute_error: 0.6817 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6748 - mean_absolute_error: 0.6748 - val_loss: 0.7305 - val_mean_absolute_error: 0.7305 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6685 - mean_absolute_error: 0.6685 - val_loss: 0.7038 - val_mean_absolute_error: 0.7038 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 16.6263 - mean_absolute_error: 16.6263 - val_loss: 0.6975 - val_mean_absolute_error: 0.6975 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7934 - mean_absolute_error: 0.7934 - val_loss: 0.7066 - val_mean_absolute_error: 0.7066 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7859 - mean_absolute_error: 0.7859 - val_loss: 0.7330 - val_mean_absolute_error: 0.7330 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7172 - mean_absolute_error: 0.7172 - val_loss: 0.6868 - val_mean_absolute_error: 0.6868 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7638 - mean_absolute_error: 0.7638 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7130 - mean_absolute_error: 0.7130 - val_loss: 0.8672 - val_mean_absolute_error: 0.8672 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7768 - mean_absolute_error: 0.7768 - val_loss: 0.7381 - val_mean_absolute_error: 0.7381 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7918 - mean_absolute_error: 0.7918 - val_loss: 0.7327 - val_mean_absolute_error: 0.7327 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8203 - mean_absolute_error: 0.8203 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7567 - mean_absolute_error: 0.7567 - val_loss: 0.6670 - val_mean_absolute_error: 0.6670 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8106 - mean_absolute_error: 0.8106 - val_loss: 0.7106 - val_mean_absolute_error: 0.7106 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7302 - mean_absolute_error: 0.7302 - val_loss: 0.7115 - val_mean_absolute_error: 0.7115 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8648 - mean_absolute_error: 0.8648 - val_loss: 0.7062 - val_mean_absolute_error: 0.7062 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7634 - mean_absolute_error: 0.7634 - val_loss: 0.7946 - val_mean_absolute_error: 0.7946 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8259 - mean_absolute_error: 0.8259 - val_loss: 0.6758 - val_mean_absolute_error: 0.6758 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7355 - mean_absolute_error: 0.7355 - val_loss: 0.7394 - val_mean_absolute_error: 0.7394 Epoch 17/50 35/35 [==============================] - 0s 4ms/step - loss: 0.7401 - mean_absolute_error: 0.7401 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7313 - mean_absolute_error: 0.7313 - val_loss: 0.7019 - val_mean_absolute_error: 0.7019 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7458 - mean_absolute_error: 0.7458 - val_loss: 0.6647 - val_mean_absolute_error: 0.6647 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7425 - mean_absolute_error: 0.7425 - val_loss: 0.7213 - val_mean_absolute_error: 0.7213 Epoch 21/50 35/35 [==============================] - 0s 3ms/step - loss: 0.8021 - mean_absolute_error: 0.8021 - val_loss: 1.3959 - val_mean_absolute_error: 1.3959 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7632 - mean_absolute_error: 0.7632 - val_loss: 0.6724 - val_mean_absolute_error: 0.6724 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7733 - mean_absolute_error: 0.7733 - val_loss: 1.1553 - val_mean_absolute_error: 1.1553 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8414 - mean_absolute_error: 0.8414 - val_loss: 0.6890 - val_mean_absolute_error: 0.6890 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8316 - mean_absolute_error: 0.8316 - val_loss: 0.6796 - val_mean_absolute_error: 0.6796 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8027 - mean_absolute_error: 0.8027 - val_loss: 0.6823 - val_mean_absolute_error: 0.6823 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7768 - mean_absolute_error: 0.7768 - val_loss: 0.9095 - val_mean_absolute_error: 0.9095 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7325 - mean_absolute_error: 0.7325 - val_loss: 0.8359 - val_mean_absolute_error: 0.8359 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7244 - mean_absolute_error: 0.7244 - val_loss: 0.7004 - val_mean_absolute_error: 0.7004 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7274 - mean_absolute_error: 0.7274 - val_loss: 0.7321 - val_mean_absolute_error: 0.7321 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8175 - mean_absolute_error: 0.8175 - val_loss: 1.4526 - val_mean_absolute_error: 1.4526 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8166 - mean_absolute_error: 0.8166 - val_loss: 0.6754 - val_mean_absolute_error: 0.6754 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7442 - mean_absolute_error: 0.7442 - val_loss: 0.7490 - val_mean_absolute_error: 0.7490 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8515 - mean_absolute_error: 0.8515 - val_loss: 0.6784 - val_mean_absolute_error: 0.6784 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7033 - mean_absolute_error: 0.7033 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7360 - mean_absolute_error: 0.7360 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7688 - mean_absolute_error: 0.7688 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7788 - mean_absolute_error: 0.7788 - val_loss: 0.7105 - val_mean_absolute_error: 0.7105 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7704 - mean_absolute_error: 0.7704 - val_loss: 0.6628 - val_mean_absolute_error: 0.6628 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8000 - mean_absolute_error: 0.8000 - val_loss: 0.7186 - val_mean_absolute_error: 0.7186 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7922 - mean_absolute_error: 0.7922 - val_loss: 0.6667 - val_mean_absolute_error: 0.6667 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8187 - mean_absolute_error: 0.8187 - val_loss: 0.6670 - val_mean_absolute_error: 0.6670 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8154 - mean_absolute_error: 0.8154 - val_loss: 0.6760 - val_mean_absolute_error: 0.6760 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7624 - mean_absolute_error: 0.7624 - val_loss: 0.6816 - val_mean_absolute_error: 0.6816 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7433 - mean_absolute_error: 0.7433 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8045 - mean_absolute_error: 0.8045 - val_loss: 0.7318 - val_mean_absolute_error: 0.7318 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7995 - mean_absolute_error: 0.7995 - val_loss: 1.1109 - val_mean_absolute_error: 1.1109 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8023 - mean_absolute_error: 0.8023 - val_loss: 0.7069 - val_mean_absolute_error: 0.7069 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9304 - mean_absolute_error: 0.9304 - val_loss: 1.0262 - val_mean_absolute_error: 1.0262 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8267 - mean_absolute_error: 0.8267 - val_loss: 0.7145 - val_mean_absolute_error: 0.7145 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 9.7005 - mean_absolute_error: 9.7005 - val_loss: 0.7118 - val_mean_absolute_error: 0.7118 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7415 - mean_absolute_error: 0.7415 - val_loss: 0.6901 - val_mean_absolute_error: 0.6901 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7365 - mean_absolute_error: 0.7365 - val_loss: 0.7168 - val_mean_absolute_error: 0.7168 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7291 - mean_absolute_error: 0.7291 - val_loss: 0.7378 - val_mean_absolute_error: 0.7378 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7246 - mean_absolute_error: 0.7246 - val_loss: 1.0971 - val_mean_absolute_error: 1.0971 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7272 - mean_absolute_error: 0.7272 - val_loss: 0.7145 - val_mean_absolute_error: 0.7145 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7251 - mean_absolute_error: 0.7251 - val_loss: 0.7008 - val_mean_absolute_error: 0.7008 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7505 - mean_absolute_error: 0.7505 - val_loss: 0.7056 - val_mean_absolute_error: 0.7056 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7402 - mean_absolute_error: 0.7402 - val_loss: 0.6918 - val_mean_absolute_error: 0.6918 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7151 - mean_absolute_error: 0.7151 - val_loss: 0.7804 - val_mean_absolute_error: 0.7804 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7388 - mean_absolute_error: 0.7388 - val_loss: 0.6769 - val_mean_absolute_error: 0.6769 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7463 - mean_absolute_error: 0.7463 - val_loss: 0.7391 - val_mean_absolute_error: 0.7391 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7382 - mean_absolute_error: 0.7382 - val_loss: 0.8090 - val_mean_absolute_error: 0.8090 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7251 - mean_absolute_error: 0.7251 - val_loss: 0.6944 - val_mean_absolute_error: 0.6944 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7286 - mean_absolute_error: 0.7286 - val_loss: 0.7345 - val_mean_absolute_error: 0.7345 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7316 - mean_absolute_error: 0.7316 - val_loss: 0.7016 - val_mean_absolute_error: 0.7016 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7495 - mean_absolute_error: 0.7495 - val_loss: 0.7169 - val_mean_absolute_error: 0.7169 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7373 - mean_absolute_error: 0.7373 - val_loss: 0.6635 - val_mean_absolute_error: 0.6635 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7229 - mean_absolute_error: 0.7229 - val_loss: 0.7749 - val_mean_absolute_error: 0.7749 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7302 - mean_absolute_error: 0.7302 - val_loss: 0.7038 - val_mean_absolute_error: 0.7038 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7349 - mean_absolute_error: 0.7349 - val_loss: 0.6967 - val_mean_absolute_error: 0.6967 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7362 - mean_absolute_error: 0.7362 - val_loss: 0.7392 - val_mean_absolute_error: 0.7392 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7491 - mean_absolute_error: 0.7491 - val_loss: 0.6826 - val_mean_absolute_error: 0.6826 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7326 - mean_absolute_error: 0.7326 - val_loss: 0.6835 - val_mean_absolute_error: 0.6835 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7089 - mean_absolute_error: 0.7089 - val_loss: 0.7070 - val_mean_absolute_error: 0.7070 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7196 - mean_absolute_error: 0.7196 - val_loss: 0.7046 - val_mean_absolute_error: 0.7046 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7273 - mean_absolute_error: 0.7273 - val_loss: 0.8692 - val_mean_absolute_error: 0.8692 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7260 - mean_absolute_error: 0.7260 - val_loss: 0.6958 - val_mean_absolute_error: 0.6958 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7536 - mean_absolute_error: 0.7536 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7308 - mean_absolute_error: 0.7308 - val_loss: 0.7137 - val_mean_absolute_error: 0.7137 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7020 - mean_absolute_error: 0.7020 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7621 - mean_absolute_error: 0.7621 - val_loss: 0.6844 - val_mean_absolute_error: 0.6844 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7245 - mean_absolute_error: 0.7245 - val_loss: 0.7246 - val_mean_absolute_error: 0.7246 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7315 - mean_absolute_error: 0.7315 - val_loss: 0.6626 - val_mean_absolute_error: 0.6626 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7165 - mean_absolute_error: 0.7165 - val_loss: 0.6649 - val_mean_absolute_error: 0.6649 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7090 - mean_absolute_error: 0.7090 - val_loss: 0.6913 - val_mean_absolute_error: 0.6913 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7882 - mean_absolute_error: 0.7882 - val_loss: 0.7190 - val_mean_absolute_error: 0.7190 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7097 - mean_absolute_error: 0.7097 - val_loss: 0.6791 - val_mean_absolute_error: 0.6791 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7424 - mean_absolute_error: 0.7424 - val_loss: 0.7205 - val_mean_absolute_error: 0.7205 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7320 - mean_absolute_error: 0.7320 - val_loss: 0.7356 - val_mean_absolute_error: 0.7356 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7383 - mean_absolute_error: 0.7383 - val_loss: 0.8727 - val_mean_absolute_error: 0.8727 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7149 - mean_absolute_error: 0.7149 - val_loss: 0.7310 - val_mean_absolute_error: 0.7310 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7683 - mean_absolute_error: 0.7683 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7422 - mean_absolute_error: 0.7422 - val_loss: 0.6849 - val_mean_absolute_error: 0.6849 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7154 - mean_absolute_error: 0.7154 - val_loss: 0.7256 - val_mean_absolute_error: 0.7256 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7365 - mean_absolute_error: 0.7365 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7162 - mean_absolute_error: 0.7162 - val_loss: 0.6972 - val_mean_absolute_error: 0.6972 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6919 - mean_absolute_error: 0.6919 - val_loss: 0.8822 - val_mean_absolute_error: 0.8822 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7372 - mean_absolute_error: 0.7372 - val_loss: 0.6601 - val_mean_absolute_error: 0.6601 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7395 - mean_absolute_error: 0.7395 - val_loss: 0.7278 - val_mean_absolute_error: 0.7278 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 125.7822 - mean_absolute_error: 125.7822 - val_loss: 0.7346 - val_mean_absolute_error: 0.7346 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7893 - mean_absolute_error: 0.7893 - val_loss: 0.6997 - val_mean_absolute_error: 0.6997 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6956 - mean_absolute_error: 0.6956 - val_loss: 0.7388 - val_mean_absolute_error: 0.7388 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7221 - mean_absolute_error: 0.7221 - val_loss: 0.7358 - val_mean_absolute_error: 0.7358 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7418 - mean_absolute_error: 0.7418 - val_loss: 0.6795 - val_mean_absolute_error: 0.6795 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7125 - mean_absolute_error: 0.7125 - val_loss: 0.7006 - val_mean_absolute_error: 0.7006 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7127 - mean_absolute_error: 0.7127 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7166 - mean_absolute_error: 0.7166 - val_loss: 0.7011 - val_mean_absolute_error: 0.7011 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7043 - mean_absolute_error: 0.7043 - val_loss: 0.6993 - val_mean_absolute_error: 0.6993 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7452 - mean_absolute_error: 0.7452 - val_loss: 0.7002 - val_mean_absolute_error: 0.7002 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7114 - mean_absolute_error: 0.7114 - val_loss: 0.6874 - val_mean_absolute_error: 0.6874 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7122 - mean_absolute_error: 0.7122 - val_loss: 0.6550 - val_mean_absolute_error: 0.6550 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7278 - mean_absolute_error: 0.7278 - val_loss: 0.7225 - val_mean_absolute_error: 0.7225 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7152 - mean_absolute_error: 0.7152 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7100 - mean_absolute_error: 0.7100 - val_loss: 0.7121 - val_mean_absolute_error: 0.7121 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7131 - mean_absolute_error: 0.7131 - val_loss: 0.6791 - val_mean_absolute_error: 0.6791 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7233 - mean_absolute_error: 0.7233 - val_loss: 0.6656 - val_mean_absolute_error: 0.6656 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7295 - mean_absolute_error: 0.7295 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7069 - mean_absolute_error: 0.7069 - val_loss: 0.7189 - val_mean_absolute_error: 0.7189 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7012 - mean_absolute_error: 0.7012 - val_loss: 0.6951 - val_mean_absolute_error: 0.6951 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7258 - mean_absolute_error: 0.7258 - val_loss: 0.7272 - val_mean_absolute_error: 0.7272 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7226 - mean_absolute_error: 0.7226 - val_loss: 0.6831 - val_mean_absolute_error: 0.6831 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7138 - mean_absolute_error: 0.7138 - val_loss: 1.2133 - val_mean_absolute_error: 1.2133 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7409 - mean_absolute_error: 0.7409 - val_loss: 0.6969 - val_mean_absolute_error: 0.6969 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7024 - mean_absolute_error: 0.7024 - val_loss: 0.7193 - val_mean_absolute_error: 0.7193 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7091 - mean_absolute_error: 0.7091 - val_loss: 0.6973 - val_mean_absolute_error: 0.6973 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7212 - mean_absolute_error: 0.7212 - val_loss: 0.7364 - val_mean_absolute_error: 0.7364 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7219 - mean_absolute_error: 0.7219 - val_loss: 0.7142 - val_mean_absolute_error: 0.7142 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7243 - mean_absolute_error: 0.7243 - val_loss: 0.7216 - val_mean_absolute_error: 0.7216 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7303 - mean_absolute_error: 0.7303 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7231 - mean_absolute_error: 0.7231 - val_loss: 0.6779 - val_mean_absolute_error: 0.6779 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7031 - mean_absolute_error: 0.7031 - val_loss: 0.6729 - val_mean_absolute_error: 0.6729 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7164 - mean_absolute_error: 0.7164 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7165 - mean_absolute_error: 0.7165 - val_loss: 0.6698 - val_mean_absolute_error: 0.6698 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7122 - mean_absolute_error: 0.7122 - val_loss: 1.0594 - val_mean_absolute_error: 1.0594 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7432 - mean_absolute_error: 0.7432 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7183 - mean_absolute_error: 0.7183 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7304 - mean_absolute_error: 0.7304 - val_loss: 0.6757 - val_mean_absolute_error: 0.6757 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7145 - mean_absolute_error: 0.7145 - val_loss: 0.7022 - val_mean_absolute_error: 0.7022 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7107 - mean_absolute_error: 0.7107 - val_loss: 0.7015 - val_mean_absolute_error: 0.7015 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7272 - mean_absolute_error: 0.7272 - val_loss: 1.1637 - val_mean_absolute_error: 1.1637 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7235 - mean_absolute_error: 0.7235 - val_loss: 0.6993 - val_mean_absolute_error: 0.6993 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7407 - mean_absolute_error: 0.7407 - val_loss: 0.6726 - val_mean_absolute_error: 0.6726 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7198 - mean_absolute_error: 0.7198 - val_loss: 0.6849 - val_mean_absolute_error: 0.6849 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7103 - mean_absolute_error: 0.7103 - val_loss: 0.6927 - val_mean_absolute_error: 0.6927 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7218 - mean_absolute_error: 0.7218 - val_loss: 0.7407 - val_mean_absolute_error: 0.7407 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7208 - mean_absolute_error: 0.7208 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7283 - mean_absolute_error: 0.7283 - val_loss: 0.6837 - val_mean_absolute_error: 0.6837 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7187 - mean_absolute_error: 0.7187 - val_loss: 0.7056 - val_mean_absolute_error: 0.7056 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7278 - mean_absolute_error: 0.7278 - val_loss: 0.6826 - val_mean_absolute_error: 0.6826 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 3.7894 - mean_absolute_error: 3.7894 - val_loss: 1.7132 - val_mean_absolute_error: 1.7132 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2786 - mean_absolute_error: 1.2786 - val_loss: 1.0660 - val_mean_absolute_error: 1.0660 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9420 - mean_absolute_error: 0.9420 - val_loss: 0.8743 - val_mean_absolute_error: 0.8743 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7915 - mean_absolute_error: 0.7915 - val_loss: 0.7591 - val_mean_absolute_error: 0.7591 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.6493 - val_mean_absolute_error: 0.6493 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6213 - mean_absolute_error: 0.6213 - val_loss: 0.6156 - val_mean_absolute_error: 0.6156 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5843 - mean_absolute_error: 0.5843 - val_loss: 0.5791 - val_mean_absolute_error: 0.5791 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5543 - mean_absolute_error: 0.5543 - val_loss: 0.5601 - val_mean_absolute_error: 0.5601 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5533 - val_mean_absolute_error: 0.5533 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5219 - mean_absolute_error: 0.5219 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 14/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mean_absolute_error: 0.5056 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5088 - mean_absolute_error: 0.5088 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5122 - mean_absolute_error: 0.5122 - val_loss: 0.5694 - val_mean_absolute_error: 0.5694 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5046 - mean_absolute_error: 0.5046 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5050 - mean_absolute_error: 0.5050 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5349 - val_mean_absolute_error: 0.5349 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5249 - val_mean_absolute_error: 0.5249 Epoch 35/50 35/35 [==============================] - 0s 4ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 36/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5005 - mean_absolute_error: 0.5005 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4992 - mean_absolute_error: 0.4992 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4956 - mean_absolute_error: 0.4956 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 40/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4945 - mean_absolute_error: 0.4945 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4895 - mean_absolute_error: 0.4895 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4990 - mean_absolute_error: 0.4990 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mean_absolute_error: 0.4917 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.7091 - mean_absolute_error: 3.7091 - val_loss: 2.3976 - val_mean_absolute_error: 2.3976 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8275 - mean_absolute_error: 1.8275 - val_loss: 1.5582 - val_mean_absolute_error: 1.5582 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2046 - mean_absolute_error: 1.2046 - val_loss: 1.0530 - val_mean_absolute_error: 1.0530 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9097 - mean_absolute_error: 0.9097 - val_loss: 0.8791 - val_mean_absolute_error: 0.8791 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7707 - mean_absolute_error: 0.7707 - val_loss: 0.7608 - val_mean_absolute_error: 0.7608 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.7040 - val_mean_absolute_error: 0.7040 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6142 - mean_absolute_error: 0.6142 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5785 - mean_absolute_error: 0.5785 - val_loss: 0.6154 - val_mean_absolute_error: 0.6154 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5584 - mean_absolute_error: 0.5584 - val_loss: 0.5697 - val_mean_absolute_error: 0.5697 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5339 - mean_absolute_error: 0.5339 - val_loss: 0.5630 - val_mean_absolute_error: 0.5630 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5273 - mean_absolute_error: 0.5273 - val_loss: 0.5425 - val_mean_absolute_error: 0.5425 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5129 - mean_absolute_error: 0.5129 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5079 - mean_absolute_error: 0.5079 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5334 - val_mean_absolute_error: 0.5334 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4911 - mean_absolute_error: 0.4911 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4819 - mean_absolute_error: 0.4819 - val_loss: 0.5176 - val_mean_absolute_error: 0.5176 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4785 - mean_absolute_error: 0.4785 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.3281 - mean_absolute_error: 4.3281 - val_loss: 3.4596 - val_mean_absolute_error: 3.4596 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7672 - mean_absolute_error: 2.7672 - val_loss: 2.1221 - val_mean_absolute_error: 2.1221 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8648 - mean_absolute_error: 1.8648 - val_loss: 1.6323 - val_mean_absolute_error: 1.6323 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4627 - mean_absolute_error: 1.4627 - val_loss: 1.3013 - val_mean_absolute_error: 1.3013 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1846 - mean_absolute_error: 1.1846 - val_loss: 1.1096 - val_mean_absolute_error: 1.1096 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0067 - mean_absolute_error: 1.0067 - val_loss: 0.9827 - val_mean_absolute_error: 0.9827 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8878 - mean_absolute_error: 0.8878 - val_loss: 0.8847 - val_mean_absolute_error: 0.8847 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7999 - mean_absolute_error: 0.7999 - val_loss: 0.8010 - val_mean_absolute_error: 0.8010 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7318 - mean_absolute_error: 0.7318 - val_loss: 0.7461 - val_mean_absolute_error: 0.7461 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6738 - mean_absolute_error: 0.6738 - val_loss: 0.6897 - val_mean_absolute_error: 0.6897 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6289 - mean_absolute_error: 0.6289 - val_loss: 0.6468 - val_mean_absolute_error: 0.6468 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5910 - mean_absolute_error: 0.5910 - val_loss: 0.6106 - val_mean_absolute_error: 0.6106 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5670 - mean_absolute_error: 0.5670 - val_loss: 0.5942 - val_mean_absolute_error: 0.5942 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5482 - mean_absolute_error: 0.5482 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5351 - mean_absolute_error: 0.5351 - val_loss: 0.5607 - val_mean_absolute_error: 0.5607 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5233 - mean_absolute_error: 0.5233 - val_loss: 0.5565 - val_mean_absolute_error: 0.5565 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5204 - mean_absolute_error: 0.5204 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5107 - mean_absolute_error: 0.5107 - val_loss: 0.5418 - val_mean_absolute_error: 0.5418 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5100 - mean_absolute_error: 0.5100 - val_loss: 0.5415 - val_mean_absolute_error: 0.5415 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5052 - mean_absolute_error: 0.5052 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5313 - val_mean_absolute_error: 0.5313 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5249 - val_mean_absolute_error: 0.5249 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4924 - mean_absolute_error: 0.4924 - val_loss: 0.5280 - val_mean_absolute_error: 0.5280 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.5232 - val_mean_absolute_error: 0.5232 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4896 - mean_absolute_error: 0.4896 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mean_absolute_error: 0.4917 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.9425 - mean_absolute_error: 1.9425 - val_loss: 0.8663 - val_mean_absolute_error: 0.8663 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6752 - mean_absolute_error: 0.6752 - val_loss: 0.6140 - val_mean_absolute_error: 0.6140 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5438 - mean_absolute_error: 0.5438 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5568 - mean_absolute_error: 0.5568 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5293 - mean_absolute_error: 0.5293 - val_loss: 0.5463 - val_mean_absolute_error: 0.5463 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5547 - mean_absolute_error: 0.5547 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5513 - mean_absolute_error: 0.5513 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5391 - mean_absolute_error: 0.5391 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5319 - mean_absolute_error: 0.5319 - val_loss: 0.5820 - val_mean_absolute_error: 0.5820 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 11/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5270 - mean_absolute_error: 0.5270 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5132 - mean_absolute_error: 0.5132 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5366 - val_mean_absolute_error: 0.5366 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5499 - val_mean_absolute_error: 0.5499 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5049 - mean_absolute_error: 0.5049 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5222 - mean_absolute_error: 0.5222 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5131 - mean_absolute_error: 0.5131 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5101 - mean_absolute_error: 0.5101 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5444 - val_mean_absolute_error: 0.5444 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5552 - val_mean_absolute_error: 0.5552 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 30/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4952 - mean_absolute_error: 0.4952 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5046 - mean_absolute_error: 0.5046 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5569 - val_mean_absolute_error: 0.5569 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5052 - mean_absolute_error: 0.5052 - val_loss: 0.5343 - val_mean_absolute_error: 0.5343 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5088 - mean_absolute_error: 0.5088 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9986 - mean_absolute_error: 1.9986 - val_loss: 0.8707 - val_mean_absolute_error: 0.8707 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7235 - mean_absolute_error: 0.7235 - val_loss: 0.6697 - val_mean_absolute_error: 0.6697 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6067 - mean_absolute_error: 0.6067 - val_loss: 0.6423 - val_mean_absolute_error: 0.6423 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5592 - mean_absolute_error: 0.5592 - val_loss: 0.5649 - val_mean_absolute_error: 0.5649 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5528 - mean_absolute_error: 0.5528 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5432 - mean_absolute_error: 0.5432 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5439 - mean_absolute_error: 0.5439 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5417 - mean_absolute_error: 0.5417 - val_loss: 0.5351 - val_mean_absolute_error: 0.5351 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5124 - mean_absolute_error: 0.5124 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5291 - mean_absolute_error: 0.5291 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5133 - mean_absolute_error: 0.5133 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 13/50 35/35 [==============================] - ETA: 0s - loss: 0.7165 - mean_absolute_error: 0.716 - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5263 - mean_absolute_error: 0.5263 - val_loss: 0.5213 - val_mean_absolute_error: 0.5213 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5062 - mean_absolute_error: 0.5062 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5135 - mean_absolute_error: 0.5135 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5042 - mean_absolute_error: 0.5042 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5085 - mean_absolute_error: 0.5085 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4951 - mean_absolute_error: 0.4951 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5530 - val_mean_absolute_error: 0.5530 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.6087 - val_mean_absolute_error: 0.6087 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5061 - mean_absolute_error: 0.5061 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_absolute_error: 0.4958 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4892 - mean_absolute_error: 0.4892 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4972 - mean_absolute_error: 0.4972 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5406 - val_mean_absolute_error: 0.5406 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6623 - mean_absolute_error: 1.6623 - val_loss: 1.0258 - val_mean_absolute_error: 1.0258 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7754 - mean_absolute_error: 0.7754 - val_loss: 0.6991 - val_mean_absolute_error: 0.6991 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6033 - mean_absolute_error: 0.6033 - val_loss: 0.6188 - val_mean_absolute_error: 0.6188 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5595 - mean_absolute_error: 0.5595 - val_loss: 0.5729 - val_mean_absolute_error: 0.5729 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5424 - mean_absolute_error: 0.5424 - val_loss: 0.6213 - val_mean_absolute_error: 0.6213 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5341 - mean_absolute_error: 0.5341 - val_loss: 0.5469 - val_mean_absolute_error: 0.5469 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5252 - val_mean_absolute_error: 0.5252 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5762 - val_mean_absolute_error: 0.5762 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5384 - val_mean_absolute_error: 0.5384 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5119 - mean_absolute_error: 0.5119 - val_loss: 0.5634 - val_mean_absolute_error: 0.5634 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5907 - val_mean_absolute_error: 0.5907 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5100 - mean_absolute_error: 0.5100 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mean_absolute_error: 0.5056 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5373 - val_mean_absolute_error: 0.5373 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5399 - val_mean_absolute_error: 0.5399 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5507 - val_mean_absolute_error: 0.5507 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5587 - val_mean_absolute_error: 0.5587 Epoch 21/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.6069 - val_mean_absolute_error: 0.6069 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4940 - mean_absolute_error: 0.4940 - val_loss: 0.5626 - val_mean_absolute_error: 0.5626 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4919 - mean_absolute_error: 0.4919 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4849 - mean_absolute_error: 0.4849 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 44/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4962 - mean_absolute_error: 0.4962 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297
def RMS_prop(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Momentum','Decay','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for m in Momentum:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
sgd = optimizers.SGD(lr=l, decay=d, momentum=m)
model1.compile(optimizer=sgd,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Momentum':m,'Decay':d,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data3 = RMS_prop('SGD')
Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 4.9746 - mean_absolute_error: 4.9746 - val_loss: 3.8617 - val_mean_absolute_error: 3.8617 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0120 - mean_absolute_error: 2.0120 - val_loss: 0.9155 - val_mean_absolute_error: 0.9155 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7074 - mean_absolute_error: 0.7074 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5991 - mean_absolute_error: 0.5991 - val_loss: 0.6045 - val_mean_absolute_error: 0.6045 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5644 - mean_absolute_error: 0.5644 - val_loss: 0.5928 - val_mean_absolute_error: 0.5928 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5555 - mean_absolute_error: 0.5555 - val_loss: 0.5702 - val_mean_absolute_error: 0.5702 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5436 - mean_absolute_error: 0.5436 - val_loss: 0.5626 - val_mean_absolute_error: 0.5626 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5380 - mean_absolute_error: 0.5380 - val_loss: 0.5559 - val_mean_absolute_error: 0.5559 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.5552 - val_mean_absolute_error: 0.5552 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5511 - val_mean_absolute_error: 0.5511 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5262 - mean_absolute_error: 0.5262 - val_loss: 0.5491 - val_mean_absolute_error: 0.5491 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5550 - val_mean_absolute_error: 0.5550 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5524 - val_mean_absolute_error: 0.5524 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5240 - mean_absolute_error: 0.5240 - val_loss: 0.5455 - val_mean_absolute_error: 0.5455 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5402 - val_mean_absolute_error: 0.5402 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5398 - val_mean_absolute_error: 0.5398 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5139 - mean_absolute_error: 0.5139 - val_loss: 0.5426 - val_mean_absolute_error: 0.5426 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5127 - mean_absolute_error: 0.5127 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5331 - val_mean_absolute_error: 0.5331 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5048 - mean_absolute_error: 0.5048 - val_loss: 0.5372 - val_mean_absolute_error: 0.5372 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5042 - mean_absolute_error: 0.5042 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5016 - mean_absolute_error: 0.5016 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5016 - mean_absolute_error: 0.5016 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4980 - mean_absolute_error: 0.4980 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4985 - mean_absolute_error: 0.4985 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5274 - val_mean_absolute_error: 0.5274 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5270 - val_mean_absolute_error: 0.5270 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.5286 - val_mean_absolute_error: 0.5286 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 5.2668 - mean_absolute_error: 5.2668 - val_loss: 4.8197 - val_mean_absolute_error: 4.8197 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3508 - mean_absolute_error: 4.3508 - val_loss: 3.8132 - val_mean_absolute_error: 3.8132 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7282 - mean_absolute_error: 2.7282 - val_loss: 0.9162 - val_mean_absolute_error: 0.9162 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7641 - mean_absolute_error: 0.7641 - val_loss: 0.6817 - val_mean_absolute_error: 0.6817 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6002 - mean_absolute_error: 0.6002 - val_loss: 0.5837 - val_mean_absolute_error: 0.5837 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5472 - mean_absolute_error: 0.5472 - val_loss: 0.5634 - val_mean_absolute_error: 0.5634 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.5497 - val_mean_absolute_error: 0.5497 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5113 - mean_absolute_error: 0.5113 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5422 - val_mean_absolute_error: 0.5422 Epoch 12/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mean_absolute_error: 0.4917 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 22/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4888 - mean_absolute_error: 0.4888 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 30/50 35/35 [==============================] - ETA: 0s - loss: 0.4054 - mean_absolute_error: 0.405 - 0s 2ms/step - loss: 0.4849 - mean_absolute_error: 0.4849 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4817 - mean_absolute_error: 0.4817 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 42/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.2574 - mean_absolute_error: 5.2574 - val_loss: 4.7971 - val_mean_absolute_error: 4.7971 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2148 - mean_absolute_error: 4.2148 - val_loss: 3.4093 - val_mean_absolute_error: 3.4093 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5638 - mean_absolute_error: 1.5638 - val_loss: 0.7334 - val_mean_absolute_error: 0.7334 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6003 - mean_absolute_error: 0.6003 - val_loss: 0.6013 - val_mean_absolute_error: 0.6013 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5558 - mean_absolute_error: 0.5558 - val_loss: 0.5677 - val_mean_absolute_error: 0.5677 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5345 - mean_absolute_error: 0.5345 - val_loss: 0.5608 - val_mean_absolute_error: 0.5608 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5292 - mean_absolute_error: 0.5292 - val_loss: 0.5531 - val_mean_absolute_error: 0.5531 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5185 - mean_absolute_error: 0.5185 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5334 - val_mean_absolute_error: 0.5334 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5107 - mean_absolute_error: 0.5107 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5223 - val_mean_absolute_error: 0.5223 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4912 - mean_absolute_error: 0.4912 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4870 - mean_absolute_error: 0.4870 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.5173 - val_mean_absolute_error: 0.5173 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4892 - mean_absolute_error: 0.4892 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4830 - mean_absolute_error: 0.4830 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.3366 - mean_absolute_error: 4.3366 - val_loss: 1.6122 - val_mean_absolute_error: 1.6122 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0864 - mean_absolute_error: 1.0864 - val_loss: 0.8630 - val_mean_absolute_error: 0.8630 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7227 - mean_absolute_error: 0.7227 - val_loss: 0.6958 - val_mean_absolute_error: 0.6958 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6287 - mean_absolute_error: 0.6287 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5915 - mean_absolute_error: 0.5915 - val_loss: 0.6042 - val_mean_absolute_error: 0.6042 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5566 - mean_absolute_error: 0.5566 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5434 - mean_absolute_error: 0.5434 - val_loss: 0.5735 - val_mean_absolute_error: 0.5735 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5376 - mean_absolute_error: 0.5376 - val_loss: 0.5684 - val_mean_absolute_error: 0.5684 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.5649 - val_mean_absolute_error: 0.5649 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5282 - mean_absolute_error: 0.5282 - val_loss: 0.5585 - val_mean_absolute_error: 0.5585 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5551 - val_mean_absolute_error: 0.5551 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5541 - val_mean_absolute_error: 0.5541 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5534 - val_mean_absolute_error: 0.5534 Epoch 14/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5534 - val_mean_absolute_error: 0.5534 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5492 - val_mean_absolute_error: 0.5492 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5489 - val_mean_absolute_error: 0.5489 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5516 - val_mean_absolute_error: 0.5516 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5463 - val_mean_absolute_error: 0.5463 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.5451 - val_mean_absolute_error: 0.5451 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5124 - mean_absolute_error: 0.5124 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.5442 - val_mean_absolute_error: 0.5442 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5451 - val_mean_absolute_error: 0.5451 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5088 - mean_absolute_error: 0.5088 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5106 - mean_absolute_error: 0.5106 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5400 - val_mean_absolute_error: 0.5400 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5391 - val_mean_absolute_error: 0.5391 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5059 - mean_absolute_error: 0.5059 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5366 - val_mean_absolute_error: 0.5366 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5058 - mean_absolute_error: 0.5058 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5048 - mean_absolute_error: 0.5048 - val_loss: 0.5348 - val_mean_absolute_error: 0.5348 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 39/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5038 - mean_absolute_error: 0.5038 - val_loss: 0.5349 - val_mean_absolute_error: 0.5349 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5348 - val_mean_absolute_error: 0.5348 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5327 - val_mean_absolute_error: 0.5327 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.3683 - mean_absolute_error: 5.3683 - val_loss: 5.3151 - val_mean_absolute_error: 5.3151 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2748 - mean_absolute_error: 5.2748 - val_loss: 5.2680 - val_mean_absolute_error: 5.2680 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2386 - mean_absolute_error: 5.2386 - val_loss: 5.2397 - val_mean_absolute_error: 5.2397 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2145 - mean_absolute_error: 5.2145 - val_loss: 5.2190 - val_mean_absolute_error: 5.2190 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1963 - mean_absolute_error: 5.1963 - val_loss: 5.2028 - val_mean_absolute_error: 5.2028 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1815 - mean_absolute_error: 5.1815 - val_loss: 5.1894 - val_mean_absolute_error: 5.1894 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1691 - mean_absolute_error: 5.1691 - val_loss: 5.1778 - val_mean_absolute_error: 5.1778 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1583 - mean_absolute_error: 5.1583 - val_loss: 5.1678 - val_mean_absolute_error: 5.1678 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1488 - mean_absolute_error: 5.1488 - val_loss: 5.1588 - val_mean_absolute_error: 5.1588 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1403 - mean_absolute_error: 5.1403 - val_loss: 5.1507 - val_mean_absolute_error: 5.1507 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1327 - mean_absolute_error: 5.1327 - val_loss: 5.1434 - val_mean_absolute_error: 5.1434 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1256 - mean_absolute_error: 5.1256 - val_loss: 5.1366 - val_mean_absolute_error: 5.1366 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1192 - mean_absolute_error: 5.1192 - val_loss: 5.1304 - val_mean_absolute_error: 5.1304 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1132 - mean_absolute_error: 5.1132 - val_loss: 5.1246 - val_mean_absolute_error: 5.1246 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1076 - mean_absolute_error: 5.1076 - val_loss: 5.1192 - val_mean_absolute_error: 5.1192 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1023 - mean_absolute_error: 5.1023 - val_loss: 5.1140 - val_mean_absolute_error: 5.1140 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0973 - mean_absolute_error: 5.0973 - val_loss: 5.1092 - val_mean_absolute_error: 5.1092 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0926 - mean_absolute_error: 5.0926 - val_loss: 5.1046 - val_mean_absolute_error: 5.1046 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0882 - mean_absolute_error: 5.0882 - val_loss: 5.1003 - val_mean_absolute_error: 5.1003 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0840 - mean_absolute_error: 5.0840 - val_loss: 5.0962 - val_mean_absolute_error: 5.0962 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0799 - mean_absolute_error: 5.0799 - val_loss: 5.0922 - val_mean_absolute_error: 5.0922 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0761 - mean_absolute_error: 5.0761 - val_loss: 5.0884 - val_mean_absolute_error: 5.0884 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0724 - mean_absolute_error: 5.0724 - val_loss: 5.0848 - val_mean_absolute_error: 5.0848 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0688 - mean_absolute_error: 5.0688 - val_loss: 5.0813 - val_mean_absolute_error: 5.0813 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0654 - mean_absolute_error: 5.0654 - val_loss: 5.0779 - val_mean_absolute_error: 5.0779 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0621 - mean_absolute_error: 5.0621 - val_loss: 5.0747 - val_mean_absolute_error: 5.0747 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0590 - mean_absolute_error: 5.0590 - val_loss: 5.0716 - val_mean_absolute_error: 5.0716 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0559 - mean_absolute_error: 5.0559 - val_loss: 5.0686 - val_mean_absolute_error: 5.0686 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0529 - mean_absolute_error: 5.0529 - val_loss: 5.0656 - val_mean_absolute_error: 5.0656 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0501 - mean_absolute_error: 5.0501 - val_loss: 5.0628 - val_mean_absolute_error: 5.0628 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0473 - mean_absolute_error: 5.0473 - val_loss: 5.0601 - val_mean_absolute_error: 5.0601 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0446 - mean_absolute_error: 5.0446 - val_loss: 5.0574 - val_mean_absolute_error: 5.0574 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 5.0420 - mean_absolute_error: 5.0420 - val_loss: 5.0548 - val_mean_absolute_error: 5.0548 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0394 - mean_absolute_error: 5.0394 - val_loss: 5.0523 - val_mean_absolute_error: 5.0523 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0370 - mean_absolute_error: 5.0370 - val_loss: 5.0499 - val_mean_absolute_error: 5.0499 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0346 - mean_absolute_error: 5.0346 - val_loss: 5.0475 - val_mean_absolute_error: 5.0475 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0322 - mean_absolute_error: 5.0322 - val_loss: 5.0451 - val_mean_absolute_error: 5.0451 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0299 - mean_absolute_error: 5.0299 - val_loss: 5.0429 - val_mean_absolute_error: 5.0429 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0277 - mean_absolute_error: 5.0277 - val_loss: 5.0407 - val_mean_absolute_error: 5.0407 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0255 - mean_absolute_error: 5.0255 - val_loss: 5.0385 - val_mean_absolute_error: 5.0385 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0234 - mean_absolute_error: 5.0234 - val_loss: 5.0364 - val_mean_absolute_error: 5.0364 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0213 - mean_absolute_error: 5.0213 - val_loss: 5.0343 - val_mean_absolute_error: 5.0343 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0193 - mean_absolute_error: 5.0193 - val_loss: 5.0323 - val_mean_absolute_error: 5.0323 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0173 - mean_absolute_error: 5.0173 - val_loss: 5.0303 - val_mean_absolute_error: 5.0303 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0153 - mean_absolute_error: 5.0153 - val_loss: 5.0284 - val_mean_absolute_error: 5.0284 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0134 - mean_absolute_error: 5.0134 - val_loss: 5.0265 - val_mean_absolute_error: 5.0265 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0116 - mean_absolute_error: 5.0116 - val_loss: 5.0246 - val_mean_absolute_error: 5.0246 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0097 - mean_absolute_error: 5.0097 - val_loss: 5.0228 - val_mean_absolute_error: 5.0228 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0079 - mean_absolute_error: 5.0079 - val_loss: 5.0210 - val_mean_absolute_error: 5.0210 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0062 - mean_absolute_error: 5.0062 - val_loss: 5.0193 - val_mean_absolute_error: 5.0193 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5073 - mean_absolute_error: 5.5073 - val_loss: 5.2325 - val_mean_absolute_error: 5.2325 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2949 - mean_absolute_error: 4.2949 - val_loss: 2.2294 - val_mean_absolute_error: 2.2294 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1020 - mean_absolute_error: 1.1020 - val_loss: 0.7860 - val_mean_absolute_error: 0.7860 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6398 - mean_absolute_error: 0.6398 - val_loss: 0.6231 - val_mean_absolute_error: 0.6231 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5727 - mean_absolute_error: 0.5727 - val_loss: 0.5810 - val_mean_absolute_error: 0.5810 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5434 - val_mean_absolute_error: 0.5434 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5238 - mean_absolute_error: 0.5238 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5109 - mean_absolute_error: 0.5109 - val_loss: 0.5265 - val_mean_absolute_error: 0.5265 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5252 - val_mean_absolute_error: 0.5252 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4821 - mean_absolute_error: 0.4821 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.5467 - val_mean_absolute_error: 0.5467 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.4904 - val_mean_absolute_error: 0.4904 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.4842 - val_mean_absolute_error: 0.4842 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4796 - val_mean_absolute_error: 0.4796 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4795 - val_mean_absolute_error: 0.4795 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.4805 - val_mean_absolute_error: 0.4805 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.4751 - val_mean_absolute_error: 0.4751 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4621 - mean_absolute_error: 0.4621 - val_loss: 0.4756 - val_mean_absolute_error: 0.4756 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4621 - mean_absolute_error: 0.4621 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.3614 - mean_absolute_error: 5.3614 - val_loss: 5.0309 - val_mean_absolute_error: 5.0309 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4318 - mean_absolute_error: 4.4318 - val_loss: 3.2822 - val_mean_absolute_error: 3.2822 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6977 - mean_absolute_error: 1.6977 - val_loss: 0.9248 - val_mean_absolute_error: 0.9248 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6504 - mean_absolute_error: 0.6504 - val_loss: 0.6393 - val_mean_absolute_error: 0.6393 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5681 - mean_absolute_error: 0.5681 - val_loss: 0.6004 - val_mean_absolute_error: 0.6004 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5507 - mean_absolute_error: 0.5507 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5407 - mean_absolute_error: 0.5407 - val_loss: 0.5693 - val_mean_absolute_error: 0.5693 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.5599 - val_mean_absolute_error: 0.5599 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5294 - mean_absolute_error: 0.5294 - val_loss: 0.5504 - val_mean_absolute_error: 0.5504 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.5485 - val_mean_absolute_error: 0.5485 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5129 - mean_absolute_error: 0.5129 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5441 - val_mean_absolute_error: 0.5441 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5092 - mean_absolute_error: 0.5092 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5042 - mean_absolute_error: 0.5042 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5406 - val_mean_absolute_error: 0.5406 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4992 - mean_absolute_error: 0.4992 - val_loss: 0.5392 - val_mean_absolute_error: 0.5392 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5269 - val_mean_absolute_error: 0.5269 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5263 - val_mean_absolute_error: 0.5263 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5242 - val_mean_absolute_error: 0.5242 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5265 - val_mean_absolute_error: 0.5265 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5199 - val_mean_absolute_error: 0.5199 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4872 - mean_absolute_error: 0.4872 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5201 - val_mean_absolute_error: 0.5201 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 5ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 2.1862 - mean_absolute_error: 2.1862 - val_loss: 0.6053 - val_mean_absolute_error: 0.6053 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5297 - mean_absolute_error: 0.5297 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5068 - mean_absolute_error: 0.5068 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4884 - mean_absolute_error: 0.4884 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4853 - mean_absolute_error: 0.4853 - val_loss: 0.5532 - val_mean_absolute_error: 0.5532 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4837 - val_mean_absolute_error: 0.4837 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.4780 - val_mean_absolute_error: 0.4780 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4609 - mean_absolute_error: 0.4609 - val_loss: 0.4769 - val_mean_absolute_error: 0.4769 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4635 - mean_absolute_error: 0.4635 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 25/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4541 - mean_absolute_error: 0.4541 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4599 - mean_absolute_error: 0.4599 - val_loss: 0.4644 - val_mean_absolute_error: 0.4644 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4514 - mean_absolute_error: 0.4514 - val_loss: 0.4721 - val_mean_absolute_error: 0.4721 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.4833 - val_mean_absolute_error: 0.4833 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4515 - mean_absolute_error: 0.4515 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4492 - mean_absolute_error: 0.4492 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.4760 - val_mean_absolute_error: 0.4760 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4458 - mean_absolute_error: 0.4458 - val_loss: 0.4717 - val_mean_absolute_error: 0.4717 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.4737 - val_mean_absolute_error: 0.4737 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4497 - mean_absolute_error: 0.4497 - val_loss: 0.4751 - val_mean_absolute_error: 0.4751 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4470 - mean_absolute_error: 0.4470 - val_loss: 0.4874 - val_mean_absolute_error: 0.4874 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4539 - mean_absolute_error: 0.4539 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4472 - mean_absolute_error: 0.4472 - val_loss: 0.4832 - val_mean_absolute_error: 0.4832 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4466 - mean_absolute_error: 0.4466 - val_loss: 0.4777 - val_mean_absolute_error: 0.4777 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4452 - mean_absolute_error: 0.4452 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4449 - mean_absolute_error: 0.4449 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.4710 - val_mean_absolute_error: 0.4710 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4392 - mean_absolute_error: 0.4392 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.9692 - mean_absolute_error: 4.9692 - val_loss: 2.6339 - val_mean_absolute_error: 2.6339 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0133 - mean_absolute_error: 1.0133 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6612 - mean_absolute_error: 0.6612 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6612 - mean_absolute_error: 0.6612 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.9210 - mean_absolute_error: 4.9210 - val_loss: 4.1539 - val_mean_absolute_error: 4.1539 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3904 - mean_absolute_error: 3.3904 - val_loss: 2.4711 - val_mean_absolute_error: 2.4711 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6677 - mean_absolute_error: 1.6677 - val_loss: 1.1618 - val_mean_absolute_error: 1.1618 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0460 - mean_absolute_error: 1.0460 - val_loss: 1.0345 - val_mean_absolute_error: 1.0345 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9413 - mean_absolute_error: 0.9413 - val_loss: 0.9660 - val_mean_absolute_error: 0.9660 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8798 - mean_absolute_error: 0.8798 - val_loss: 0.9203 - val_mean_absolute_error: 0.9203 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8393 - mean_absolute_error: 0.8393 - val_loss: 0.8867 - val_mean_absolute_error: 0.8867 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8114 - mean_absolute_error: 0.8114 - val_loss: 0.8599 - val_mean_absolute_error: 0.8599 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7893 - mean_absolute_error: 0.7893 - val_loss: 0.8398 - val_mean_absolute_error: 0.8398 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7721 - mean_absolute_error: 0.7721 - val_loss: 0.8234 - val_mean_absolute_error: 0.8234 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7584 - mean_absolute_error: 0.7584 - val_loss: 0.8094 - val_mean_absolute_error: 0.8094 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7472 - mean_absolute_error: 0.7472 - val_loss: 0.7976 - val_mean_absolute_error: 0.7976 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7372 - mean_absolute_error: 0.7372 - val_loss: 0.7877 - val_mean_absolute_error: 0.7877 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7291 - mean_absolute_error: 0.7291 - val_loss: 0.7796 - val_mean_absolute_error: 0.7796 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7221 - mean_absolute_error: 0.7221 - val_loss: 0.7719 - val_mean_absolute_error: 0.7719 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7159 - mean_absolute_error: 0.7159 - val_loss: 0.7656 - val_mean_absolute_error: 0.7656 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7100 - mean_absolute_error: 0.7100 - val_loss: 0.7597 - val_mean_absolute_error: 0.7597 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7048 - mean_absolute_error: 0.7048 - val_loss: 0.7545 - val_mean_absolute_error: 0.7545 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7003 - mean_absolute_error: 0.7003 - val_loss: 0.7494 - val_mean_absolute_error: 0.7494 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6960 - mean_absolute_error: 0.6960 - val_loss: 0.7450 - val_mean_absolute_error: 0.7450 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6923 - mean_absolute_error: 0.6923 - val_loss: 0.7410 - val_mean_absolute_error: 0.7410 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6889 - mean_absolute_error: 0.6889 - val_loss: 0.7374 - val_mean_absolute_error: 0.7374 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.7342 - val_mean_absolute_error: 0.7342 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.7310 - val_mean_absolute_error: 0.7310 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.7280 - val_mean_absolute_error: 0.7280 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.7250 - val_mean_absolute_error: 0.7250 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6759 - mean_absolute_error: 0.6759 - val_loss: 0.7226 - val_mean_absolute_error: 0.7226 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6737 - mean_absolute_error: 0.6737 - val_loss: 0.7200 - val_mean_absolute_error: 0.7200 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6718 - mean_absolute_error: 0.6718 - val_loss: 0.7178 - val_mean_absolute_error: 0.7178 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6697 - mean_absolute_error: 0.6697 - val_loss: 0.7157 - val_mean_absolute_error: 0.7157 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.7134 - val_mean_absolute_error: 0.7134 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6662 - mean_absolute_error: 0.6662 - val_loss: 0.7113 - val_mean_absolute_error: 0.7113 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.7095 - val_mean_absolute_error: 0.7095 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.7078 - val_mean_absolute_error: 0.7078 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.7062 - val_mean_absolute_error: 0.7062 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6604 - mean_absolute_error: 0.6604 - val_loss: 0.7048 - val_mean_absolute_error: 0.7048 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6589 - mean_absolute_error: 0.6589 - val_loss: 0.7031 - val_mean_absolute_error: 0.7031 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6576 - mean_absolute_error: 0.6576 - val_loss: 0.7016 - val_mean_absolute_error: 0.7016 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6563 - mean_absolute_error: 0.6563 - val_loss: 0.7001 - val_mean_absolute_error: 0.7001 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6552 - mean_absolute_error: 0.6552 - val_loss: 0.6990 - val_mean_absolute_error: 0.6990 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6540 - mean_absolute_error: 0.6540 - val_loss: 0.6976 - val_mean_absolute_error: 0.6976 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6529 - mean_absolute_error: 0.6529 - val_loss: 0.6962 - val_mean_absolute_error: 0.6962 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6518 - mean_absolute_error: 0.6518 - val_loss: 0.6949 - val_mean_absolute_error: 0.6949 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6507 - mean_absolute_error: 0.6507 - val_loss: 0.6938 - val_mean_absolute_error: 0.6938 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6498 - mean_absolute_error: 0.6498 - val_loss: 0.6926 - val_mean_absolute_error: 0.6926 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6489 - mean_absolute_error: 0.6489 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6477 - mean_absolute_error: 0.6477 - val_loss: 0.6903 - val_mean_absolute_error: 0.6903 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6468 - mean_absolute_error: 0.6468 - val_loss: 0.6893 - val_mean_absolute_error: 0.6893 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6459 - mean_absolute_error: 0.6459 - val_loss: 0.6883 - val_mean_absolute_error: 0.6883 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6451 - mean_absolute_error: 0.6451 - val_loss: 0.6874 - val_mean_absolute_error: 0.6874 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.1622 - mean_absolute_error: 2.1622 - val_loss: 0.6270 - val_mean_absolute_error: 0.6270 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5633 - mean_absolute_error: 0.5633 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.6157 - val_mean_absolute_error: 0.6157 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5049 - mean_absolute_error: 0.5049 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.6245 - val_mean_absolute_error: 0.6245 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.4828 - val_mean_absolute_error: 0.4828 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5959 - val_mean_absolute_error: 0.5959 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4985 - mean_absolute_error: 0.4985 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4861 - val_mean_absolute_error: 0.4861 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.4774 - val_mean_absolute_error: 0.4774 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4627 - mean_absolute_error: 0.4627 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.4786 - val_mean_absolute_error: 0.4786 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mean_absolute_error: 0.4847 - val_loss: 0.4677 - val_mean_absolute_error: 0.4677 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4588 - mean_absolute_error: 0.4588 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.5418 - val_mean_absolute_error: 0.5418 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4526 - mean_absolute_error: 0.4526 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5515 - val_mean_absolute_error: 0.5515 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4762 - val_mean_absolute_error: 0.4762 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4620 - val_mean_absolute_error: 0.4620 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4628 - mean_absolute_error: 0.4628 - val_loss: 0.4631 - val_mean_absolute_error: 0.4631 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4542 - mean_absolute_error: 0.4542 - val_loss: 0.5194 - val_mean_absolute_error: 0.5194 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mean_absolute_error: 0.4561 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4550 - mean_absolute_error: 0.4550 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4710 - val_mean_absolute_error: 0.4710 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4439 - mean_absolute_error: 0.4439 - val_loss: 0.4651 - val_mean_absolute_error: 0.4651 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5637 - val_mean_absolute_error: 0.5637 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.5435 - val_mean_absolute_error: 0.5435 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4419 - mean_absolute_error: 0.4419 - val_loss: 0.4808 - val_mean_absolute_error: 0.4808 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4492 - mean_absolute_error: 0.4492 - val_loss: 0.4615 - val_mean_absolute_error: 0.4615 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.6094 - val_mean_absolute_error: 0.6094 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4472 - mean_absolute_error: 0.4472 - val_loss: 0.4604 - val_mean_absolute_error: 0.4604 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4387 - mean_absolute_error: 0.4387 - val_loss: 0.5205 - val_mean_absolute_error: 0.5205 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4506 - mean_absolute_error: 0.4506 - val_loss: 0.4777 - val_mean_absolute_error: 0.4777 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9346 - mean_absolute_error: 1.9346 - val_loss: 0.6091 - val_mean_absolute_error: 0.6091 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5895 - mean_absolute_error: 0.5895 - val_loss: 0.5642 - val_mean_absolute_error: 0.5642 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5459 - mean_absolute_error: 0.5459 - val_loss: 0.7013 - val_mean_absolute_error: 0.7013 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5374 - mean_absolute_error: 0.5374 - val_loss: 0.5504 - val_mean_absolute_error: 0.5504 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5123 - mean_absolute_error: 0.5123 - val_loss: 0.5117 - val_mean_absolute_error: 0.5117 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5543 - mean_absolute_error: 0.5543 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5232 - mean_absolute_error: 0.5232 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5166 - mean_absolute_error: 0.5166 - val_loss: 0.5979 - val_mean_absolute_error: 0.5979 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4924 - mean_absolute_error: 0.4924 - val_loss: 0.4823 - val_mean_absolute_error: 0.4823 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.4779 - val_mean_absolute_error: 0.4779 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.4749 - val_mean_absolute_error: 0.4749 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.4711 - val_mean_absolute_error: 0.4711 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.4686 - val_mean_absolute_error: 0.4686 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4781 - val_mean_absolute_error: 0.4781 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4814 - val_mean_absolute_error: 0.4814 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.4771 - val_mean_absolute_error: 0.4771 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.4852 - val_mean_absolute_error: 0.4852 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4634 - mean_absolute_error: 0.4634 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.4824 - val_mean_absolute_error: 0.4824 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.5561 - val_mean_absolute_error: 0.5561 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.4902 - val_mean_absolute_error: 0.4902 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4631 - mean_absolute_error: 0.4631 - val_loss: 0.4902 - val_mean_absolute_error: 0.4902 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.4869 - val_mean_absolute_error: 0.4869 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.1794 - mean_absolute_error: 1.1794 - val_loss: 0.9357 - val_mean_absolute_error: 0.9357 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6549 - mean_absolute_error: 0.6549 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5959 - mean_absolute_error: 0.5959 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5659 - mean_absolute_error: 0.5659 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5593 - mean_absolute_error: 0.5593 - val_loss: 0.7155 - val_mean_absolute_error: 0.7155 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5499 - mean_absolute_error: 0.5499 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5907 - val_mean_absolute_error: 0.5907 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5280 - mean_absolute_error: 0.5280 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5410 - mean_absolute_error: 0.5410 - val_loss: 0.7339 - val_mean_absolute_error: 0.7339 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5493 - mean_absolute_error: 0.5493 - val_loss: 0.5616 - val_mean_absolute_error: 0.5616 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5277 - mean_absolute_error: 0.5277 - val_loss: 0.5724 - val_mean_absolute_error: 0.5724 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5460 - mean_absolute_error: 0.5460 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.5432 - val_mean_absolute_error: 0.5432 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5269 - mean_absolute_error: 0.5269 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5267 - mean_absolute_error: 0.5267 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.6186 - val_mean_absolute_error: 0.6186 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5387 - mean_absolute_error: 0.5387 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5464 - val_mean_absolute_error: 0.5464 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.6275 - val_mean_absolute_error: 0.6275 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5127 - mean_absolute_error: 0.5127 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5665 - val_mean_absolute_error: 0.5665 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5016 - mean_absolute_error: 0.5016 - val_loss: 0.5490 - val_mean_absolute_error: 0.5490 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5210 - mean_absolute_error: 0.5210 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5031 - mean_absolute_error: 0.5031 - val_loss: 0.5498 - val_mean_absolute_error: 0.5498 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5011 - mean_absolute_error: 0.5011 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5182 - mean_absolute_error: 0.5182 - val_loss: 0.5642 - val_mean_absolute_error: 0.5642 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5580 - val_mean_absolute_error: 0.5580 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_absolute_error: 0.4958 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4949 - mean_absolute_error: 0.4949 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4888 - mean_absolute_error: 0.4888 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5067 - mean_absolute_error: 0.5067 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.4783 - mean_absolute_error: 2.4783 - val_loss: 0.8159 - val_mean_absolute_error: 0.8159 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7669 - mean_absolute_error: 0.7669 - val_loss: 0.7542 - val_mean_absolute_error: 0.7542 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6363 - mean_absolute_error: 0.6363 - val_loss: 0.6044 - val_mean_absolute_error: 0.6044 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5844 - mean_absolute_error: 0.5844 - val_loss: 0.5570 - val_mean_absolute_error: 0.5570 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5758 - mean_absolute_error: 0.5758 - val_loss: 0.6302 - val_mean_absolute_error: 0.6302 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5836 - mean_absolute_error: 0.5836 - val_loss: 0.5513 - val_mean_absolute_error: 0.5513 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5252 - mean_absolute_error: 0.5252 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.6411 - val_mean_absolute_error: 0.6411 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5501 - val_mean_absolute_error: 0.5501 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5567 - mean_absolute_error: 0.5567 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5113 - mean_absolute_error: 0.5113 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5005 - mean_absolute_error: 0.5005 - val_loss: 0.5427 - val_mean_absolute_error: 0.5427 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mean_absolute_error: 0.5056 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4920 - mean_absolute_error: 0.4920 - val_loss: 0.5280 - val_mean_absolute_error: 0.5280 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5549 - val_mean_absolute_error: 0.5549 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4854 - mean_absolute_error: 0.4854 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4866 - mean_absolute_error: 0.4866 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4868 - val_mean_absolute_error: 0.4868 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4810 - val_mean_absolute_error: 0.4810 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4609 - mean_absolute_error: 0.4609 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.4759 - val_mean_absolute_error: 0.4759 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4551 - mean_absolute_error: 0.4551 - val_loss: 0.4885 - val_mean_absolute_error: 0.4885 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4594 - mean_absolute_error: 0.4594 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4614 - mean_absolute_error: 0.4614 - val_loss: 0.4884 - val_mean_absolute_error: 0.4884 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.4781 - val_mean_absolute_error: 0.4781 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4594 - mean_absolute_error: 0.4594 - val_loss: 0.4836 - val_mean_absolute_error: 0.4836 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4369 - mean_absolute_error: 1.4369 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6099 - mean_absolute_error: 0.6099 - val_loss: 0.7785 - val_mean_absolute_error: 0.7785 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5594 - mean_absolute_error: 0.5594 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5363 - mean_absolute_error: 0.5363 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5474 - mean_absolute_error: 0.5474 - val_loss: 0.5737 - val_mean_absolute_error: 0.5737 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5326 - mean_absolute_error: 0.5326 - val_loss: 0.5357 - val_mean_absolute_error: 0.5357 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4585 - val_mean_absolute_error: 0.4585 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.4812 - val_mean_absolute_error: 0.4812 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mean_absolute_error: 0.4561 - val_loss: 0.5875 - val_mean_absolute_error: 0.5875 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.4646 - val_mean_absolute_error: 0.4646 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4490 - mean_absolute_error: 0.4490 - val_loss: 0.4744 - val_mean_absolute_error: 0.4744 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.4602 - val_mean_absolute_error: 0.4602 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.4726 - val_mean_absolute_error: 0.4726 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.4775 - val_mean_absolute_error: 0.4775 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4609 - mean_absolute_error: 0.4609 - val_loss: 0.5432 - val_mean_absolute_error: 0.5432 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4685 - val_mean_absolute_error: 0.4685 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4574 - mean_absolute_error: 0.4574 - val_loss: 0.4617 - val_mean_absolute_error: 0.4617 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4492 - mean_absolute_error: 0.4492 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4486 - mean_absolute_error: 0.4486 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4381 - mean_absolute_error: 0.4381 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mean_absolute_error: 0.4622 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4331 - mean_absolute_error: 0.4331 - val_loss: 0.4689 - val_mean_absolute_error: 0.4689 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.4725 - val_mean_absolute_error: 0.4725 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4361 - mean_absolute_error: 0.4361 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4476 - mean_absolute_error: 0.4476 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.4755 - val_mean_absolute_error: 0.4755 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4673 - val_mean_absolute_error: 0.4673 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4369 - mean_absolute_error: 0.4369 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4505 - mean_absolute_error: 0.4505 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4263 - mean_absolute_error: 0.4263 - val_loss: 0.4808 - val_mean_absolute_error: 0.4808 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4242 - mean_absolute_error: 0.4242 - val_loss: 0.4664 - val_mean_absolute_error: 0.4664 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4456 - mean_absolute_error: 0.4456 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4558 - mean_absolute_error: 0.4558 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4824 - val_mean_absolute_error: 0.4824 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4264 - mean_absolute_error: 0.4264 - val_loss: 0.4596 - val_mean_absolute_error: 0.4596 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4355 - mean_absolute_error: 0.4355 - val_loss: 0.4572 - val_mean_absolute_error: 0.4572 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.7609 - mean_absolute_error: 3.7609 - val_loss: 0.9538 - val_mean_absolute_error: 0.9538 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6682 - mean_absolute_error: 0.6682 - val_loss: 0.6186 - val_mean_absolute_error: 0.6186 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5894 - mean_absolute_error: 0.5894 - val_loss: 0.5961 - val_mean_absolute_error: 0.5961 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5728 - mean_absolute_error: 0.5728 - val_loss: 0.5842 - val_mean_absolute_error: 0.5842 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5658 - mean_absolute_error: 0.5658 - val_loss: 0.5787 - val_mean_absolute_error: 0.5787 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5598 - mean_absolute_error: 0.5598 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5564 - mean_absolute_error: 0.5564 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5542 - mean_absolute_error: 0.5542 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5515 - mean_absolute_error: 0.5515 - val_loss: 0.5701 - val_mean_absolute_error: 0.5701 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5493 - mean_absolute_error: 0.5493 - val_loss: 0.5693 - val_mean_absolute_error: 0.5693 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5476 - mean_absolute_error: 0.5476 - val_loss: 0.5689 - val_mean_absolute_error: 0.5689 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5464 - mean_absolute_error: 0.5464 - val_loss: 0.5687 - val_mean_absolute_error: 0.5687 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5452 - mean_absolute_error: 0.5452 - val_loss: 0.5675 - val_mean_absolute_error: 0.5675 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5437 - mean_absolute_error: 0.5437 - val_loss: 0.5673 - val_mean_absolute_error: 0.5673 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5425 - mean_absolute_error: 0.5425 - val_loss: 0.5668 - val_mean_absolute_error: 0.5668 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5418 - mean_absolute_error: 0.5418 - val_loss: 0.5665 - val_mean_absolute_error: 0.5665 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5410 - mean_absolute_error: 0.5410 - val_loss: 0.5663 - val_mean_absolute_error: 0.5663 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5403 - mean_absolute_error: 0.5403 - val_loss: 0.5661 - val_mean_absolute_error: 0.5661 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5395 - mean_absolute_error: 0.5395 - val_loss: 0.5654 - val_mean_absolute_error: 0.5654 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5387 - mean_absolute_error: 0.5387 - val_loss: 0.5653 - val_mean_absolute_error: 0.5653 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5382 - mean_absolute_error: 0.5382 - val_loss: 0.5652 - val_mean_absolute_error: 0.5652 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5377 - mean_absolute_error: 0.5377 - val_loss: 0.5647 - val_mean_absolute_error: 0.5647 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5373 - mean_absolute_error: 0.5373 - val_loss: 0.5644 - val_mean_absolute_error: 0.5644 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5371 - mean_absolute_error: 0.5371 - val_loss: 0.5641 - val_mean_absolute_error: 0.5641 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5366 - mean_absolute_error: 0.5366 - val_loss: 0.5639 - val_mean_absolute_error: 0.5639 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5362 - mean_absolute_error: 0.5362 - val_loss: 0.5636 - val_mean_absolute_error: 0.5636 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5359 - mean_absolute_error: 0.5359 - val_loss: 0.5633 - val_mean_absolute_error: 0.5633 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5357 - mean_absolute_error: 0.5357 - val_loss: 0.5631 - val_mean_absolute_error: 0.5631 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5352 - mean_absolute_error: 0.5352 - val_loss: 0.5629 - val_mean_absolute_error: 0.5629 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5627 - val_mean_absolute_error: 0.5627 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5349 - mean_absolute_error: 0.5349 - val_loss: 0.5624 - val_mean_absolute_error: 0.5624 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5345 - mean_absolute_error: 0.5345 - val_loss: 0.5622 - val_mean_absolute_error: 0.5622 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5344 - mean_absolute_error: 0.5344 - val_loss: 0.5620 - val_mean_absolute_error: 0.5620 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5342 - mean_absolute_error: 0.5342 - val_loss: 0.5618 - val_mean_absolute_error: 0.5618 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5339 - mean_absolute_error: 0.5339 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5337 - mean_absolute_error: 0.5337 - val_loss: 0.5615 - val_mean_absolute_error: 0.5615 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5334 - mean_absolute_error: 0.5334 - val_loss: 0.5613 - val_mean_absolute_error: 0.5613 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5612 - val_mean_absolute_error: 0.5612 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5331 - mean_absolute_error: 0.5331 - val_loss: 0.5610 - val_mean_absolute_error: 0.5610 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5608 - val_mean_absolute_error: 0.5608 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5606 - val_mean_absolute_error: 0.5606 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5326 - mean_absolute_error: 0.5326 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5324 - mean_absolute_error: 0.5324 - val_loss: 0.5603 - val_mean_absolute_error: 0.5603 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5601 - val_mean_absolute_error: 0.5601 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5600 - val_mean_absolute_error: 0.5600 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5319 - mean_absolute_error: 0.5319 - val_loss: 0.5599 - val_mean_absolute_error: 0.5599 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5317 - mean_absolute_error: 0.5317 - val_loss: 0.5598 - val_mean_absolute_error: 0.5598 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5316 - mean_absolute_error: 0.5316 - val_loss: 0.5596 - val_mean_absolute_error: 0.5596 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5315 - mean_absolute_error: 0.5315 - val_loss: 0.5594 - val_mean_absolute_error: 0.5594 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.5594 - val_mean_absolute_error: 0.5594 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.2767 - mean_absolute_error: 1.2767 - val_loss: 0.5931 - val_mean_absolute_error: 0.5931 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6003 - mean_absolute_error: 0.6003 - val_loss: 0.6408 - val_mean_absolute_error: 0.6408 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5511 - mean_absolute_error: 0.5511 - val_loss: 0.5194 - val_mean_absolute_error: 0.5194 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5555 - mean_absolute_error: 0.5555 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5625 - mean_absolute_error: 0.5625 - val_loss: 0.5541 - val_mean_absolute_error: 0.5541 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5452 - mean_absolute_error: 0.5452 - val_loss: 0.7130 - val_mean_absolute_error: 0.7130 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5462 - mean_absolute_error: 0.5462 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5633 - mean_absolute_error: 0.5633 - val_loss: 0.5806 - val_mean_absolute_error: 0.5806 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5385 - mean_absolute_error: 0.5385 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5349 - mean_absolute_error: 0.5349 - val_loss: 0.5683 - val_mean_absolute_error: 0.5683 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5390 - mean_absolute_error: 0.5390 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5634 - val_mean_absolute_error: 0.5634 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5177 - mean_absolute_error: 0.5177 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5102 - mean_absolute_error: 0.5102 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.6336 - val_mean_absolute_error: 0.6336 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5305 - mean_absolute_error: 0.5305 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5372 - val_mean_absolute_error: 0.5372 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5073 - mean_absolute_error: 0.5073 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.4864 - val_mean_absolute_error: 0.4864 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.6217 - val_mean_absolute_error: 0.6217 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.6768 - val_mean_absolute_error: 0.6768 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5723 - val_mean_absolute_error: 0.5723 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4592 - mean_absolute_error: 0.4592 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4446 - mean_absolute_error: 0.4446 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5521 - val_mean_absolute_error: 0.5521 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4514 - mean_absolute_error: 0.4514 - val_loss: 0.5659 - val_mean_absolute_error: 0.5659 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4459 - mean_absolute_error: 0.4459 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4414 - mean_absolute_error: 0.4414 - val_loss: 0.4776 - val_mean_absolute_error: 0.4776 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4525 - mean_absolute_error: 0.4525 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4506 - mean_absolute_error: 0.4506 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4438 - mean_absolute_error: 0.4438 - val_loss: 0.5276 - val_mean_absolute_error: 0.5276 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4332 - mean_absolute_error: 0.4332 - val_loss: 0.4843 - val_mean_absolute_error: 0.4843 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4345 - mean_absolute_error: 0.4345 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4521 - mean_absolute_error: 0.4521 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4343 - mean_absolute_error: 0.4343 - val_loss: 0.4897 - val_mean_absolute_error: 0.4897 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.2901 - mean_absolute_error: 1.2901 - val_loss: 0.6656 - val_mean_absolute_error: 0.6656 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5576 - mean_absolute_error: 0.5576 - val_loss: 0.5557 - val_mean_absolute_error: 0.5557 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5414 - mean_absolute_error: 0.5414 - val_loss: 0.5429 - val_mean_absolute_error: 0.5429 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5249 - mean_absolute_error: 0.5249 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5137 - mean_absolute_error: 0.5137 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4954 - mean_absolute_error: 0.4954 - val_loss: 0.5592 - val_mean_absolute_error: 0.5592 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.4889 - val_mean_absolute_error: 0.4889 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4874 - val_mean_absolute_error: 0.4874 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.4860 - val_mean_absolute_error: 0.4860 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mean_absolute_error: 0.4595 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4564 - mean_absolute_error: 0.4564 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4540 - mean_absolute_error: 0.4540 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4820 - val_mean_absolute_error: 0.4820 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.4780 - val_mean_absolute_error: 0.4780 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4537 - mean_absolute_error: 0.4537 - val_loss: 0.4834 - val_mean_absolute_error: 0.4834 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4528 - mean_absolute_error: 0.4528 - val_loss: 0.4775 - val_mean_absolute_error: 0.4775 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4509 - mean_absolute_error: 0.4509 - val_loss: 0.4734 - val_mean_absolute_error: 0.4734 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4517 - mean_absolute_error: 0.4517 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4503 - mean_absolute_error: 0.4503 - val_loss: 0.4755 - val_mean_absolute_error: 0.4755 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.4795 - val_mean_absolute_error: 0.4795 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4496 - mean_absolute_error: 0.4496 - val_loss: 0.4751 - val_mean_absolute_error: 0.4751 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4491 - mean_absolute_error: 0.4491 - val_loss: 0.4822 - val_mean_absolute_error: 0.4822 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.4776 - val_mean_absolute_error: 0.4776 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.4780 - val_mean_absolute_error: 0.4780 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4471 - mean_absolute_error: 0.4471 - val_loss: 0.4708 - val_mean_absolute_error: 0.4708 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4452 - mean_absolute_error: 0.4452 - val_loss: 0.4746 - val_mean_absolute_error: 0.4746 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4444 - mean_absolute_error: 0.4444 - val_loss: 0.4696 - val_mean_absolute_error: 0.4696 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4459 - mean_absolute_error: 0.4459 - val_loss: 0.4727 - val_mean_absolute_error: 0.4727 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4488 - mean_absolute_error: 0.4488 - val_loss: 0.4717 - val_mean_absolute_error: 0.4717 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4442 - mean_absolute_error: 0.4442 - val_loss: 0.4859 - val_mean_absolute_error: 0.4859 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4447 - mean_absolute_error: 0.4447 - val_loss: 0.4748 - val_mean_absolute_error: 0.4748 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4465 - mean_absolute_error: 0.4465 - val_loss: 0.4712 - val_mean_absolute_error: 0.4712 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4424 - mean_absolute_error: 0.4424 - val_loss: 0.4702 - val_mean_absolute_error: 0.4702 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9545 - mean_absolute_error: 1.9545 - val_loss: 1.0011 - val_mean_absolute_error: 1.0011 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8793 - mean_absolute_error: 0.8793 - val_loss: 0.8925 - val_mean_absolute_error: 0.8925 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8097 - mean_absolute_error: 0.8097 - val_loss: 0.8389 - val_mean_absolute_error: 0.8389 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7729 - mean_absolute_error: 0.7729 - val_loss: 0.8082 - val_mean_absolute_error: 0.8082 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7497 - mean_absolute_error: 0.7497 - val_loss: 0.7870 - val_mean_absolute_error: 0.7870 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7323 - mean_absolute_error: 0.7323 - val_loss: 0.7718 - val_mean_absolute_error: 0.7718 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7191 - mean_absolute_error: 0.7191 - val_loss: 0.7588 - val_mean_absolute_error: 0.7588 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7090 - mean_absolute_error: 0.7090 - val_loss: 0.7496 - val_mean_absolute_error: 0.7496 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7008 - mean_absolute_error: 0.7008 - val_loss: 0.7419 - val_mean_absolute_error: 0.7419 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6936 - mean_absolute_error: 0.6936 - val_loss: 0.7348 - val_mean_absolute_error: 0.7348 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.7280 - val_mean_absolute_error: 0.7280 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6820 - mean_absolute_error: 0.6820 - val_loss: 0.7229 - val_mean_absolute_error: 0.7229 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6773 - mean_absolute_error: 0.6773 - val_loss: 0.7186 - val_mean_absolute_error: 0.7186 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6734 - mean_absolute_error: 0.6734 - val_loss: 0.7145 - val_mean_absolute_error: 0.7145 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.7107 - val_mean_absolute_error: 0.7107 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6662 - mean_absolute_error: 0.6662 - val_loss: 0.7072 - val_mean_absolute_error: 0.7072 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.7039 - val_mean_absolute_error: 0.7039 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6606 - mean_absolute_error: 0.6606 - val_loss: 0.7013 - val_mean_absolute_error: 0.7013 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6579 - mean_absolute_error: 0.6579 - val_loss: 0.6989 - val_mean_absolute_error: 0.6989 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6558 - mean_absolute_error: 0.6558 - val_loss: 0.6972 - val_mean_absolute_error: 0.6972 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6537 - mean_absolute_error: 0.6537 - val_loss: 0.6954 - val_mean_absolute_error: 0.6954 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6517 - mean_absolute_error: 0.6517 - val_loss: 0.6932 - val_mean_absolute_error: 0.6932 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6499 - mean_absolute_error: 0.6499 - val_loss: 0.6916 - val_mean_absolute_error: 0.6916 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6482 - mean_absolute_error: 0.6482 - val_loss: 0.6896 - val_mean_absolute_error: 0.6896 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6467 - mean_absolute_error: 0.6467 - val_loss: 0.6881 - val_mean_absolute_error: 0.6881 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6451 - mean_absolute_error: 0.6451 - val_loss: 0.6867 - val_mean_absolute_error: 0.6867 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6436 - mean_absolute_error: 0.6436 - val_loss: 0.6855 - val_mean_absolute_error: 0.6855 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6422 - mean_absolute_error: 0.6422 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6409 - mean_absolute_error: 0.6409 - val_loss: 0.6828 - val_mean_absolute_error: 0.6828 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6397 - mean_absolute_error: 0.6397 - val_loss: 0.6815 - val_mean_absolute_error: 0.6815 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6385 - mean_absolute_error: 0.6385 - val_loss: 0.6804 - val_mean_absolute_error: 0.6804 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6373 - mean_absolute_error: 0.6373 - val_loss: 0.6794 - val_mean_absolute_error: 0.6794 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6362 - mean_absolute_error: 0.6362 - val_loss: 0.6785 - val_mean_absolute_error: 0.6785 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6352 - mean_absolute_error: 0.6352 - val_loss: 0.6776 - val_mean_absolute_error: 0.6776 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6342 - mean_absolute_error: 0.6342 - val_loss: 0.6766 - val_mean_absolute_error: 0.6766 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6332 - mean_absolute_error: 0.6332 - val_loss: 0.6755 - val_mean_absolute_error: 0.6755 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6323 - mean_absolute_error: 0.6323 - val_loss: 0.6748 - val_mean_absolute_error: 0.6748 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6315 - mean_absolute_error: 0.6315 - val_loss: 0.6739 - val_mean_absolute_error: 0.6739 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6306 - mean_absolute_error: 0.6306 - val_loss: 0.6729 - val_mean_absolute_error: 0.6729 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6297 - mean_absolute_error: 0.6297 - val_loss: 0.6723 - val_mean_absolute_error: 0.6723 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6289 - mean_absolute_error: 0.6289 - val_loss: 0.6714 - val_mean_absolute_error: 0.6714 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6282 - mean_absolute_error: 0.6282 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6275 - mean_absolute_error: 0.6275 - val_loss: 0.6698 - val_mean_absolute_error: 0.6698 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6267 - mean_absolute_error: 0.6267 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6260 - mean_absolute_error: 0.6260 - val_loss: 0.6686 - val_mean_absolute_error: 0.6686 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6254 - mean_absolute_error: 0.6254 - val_loss: 0.6679 - val_mean_absolute_error: 0.6679 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6247 - mean_absolute_error: 0.6247 - val_loss: 0.6674 - val_mean_absolute_error: 0.6674 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6240 - mean_absolute_error: 0.6240 - val_loss: 0.6667 - val_mean_absolute_error: 0.6667 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6234 - mean_absolute_error: 0.6234 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6228 - mean_absolute_error: 0.6228 - val_loss: 0.6655 - val_mean_absolute_error: 0.6655 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.1390 - mean_absolute_error: 2.1390 - val_loss: 0.5594 - val_mean_absolute_error: 0.5594 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5738 - mean_absolute_error: 0.5738 - val_loss: 0.5391 - val_mean_absolute_error: 0.5391 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.5599 - val_mean_absolute_error: 0.5599 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5260 - mean_absolute_error: 0.5260 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5241 - mean_absolute_error: 0.5241 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5237 - mean_absolute_error: 0.5237 - val_loss: 0.6046 - val_mean_absolute_error: 0.6046 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5332 - mean_absolute_error: 0.5332 - val_loss: 0.5981 - val_mean_absolute_error: 0.5981 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5192 - mean_absolute_error: 0.5192 - val_loss: 0.5397 - val_mean_absolute_error: 0.5397 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5089 - mean_absolute_error: 0.5089 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5794 - val_mean_absolute_error: 0.5794 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5090 - mean_absolute_error: 0.5090 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4956 - mean_absolute_error: 0.4956 - val_loss: 0.5349 - val_mean_absolute_error: 0.5349 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5547 - val_mean_absolute_error: 0.5547 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4978 - mean_absolute_error: 0.4978 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mean_absolute_error: 0.4917 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4963 - mean_absolute_error: 0.4963 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5582 - val_mean_absolute_error: 0.5582 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.4778 - val_mean_absolute_error: 0.4778 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.4835 - val_mean_absolute_error: 0.4835 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.6616 - val_mean_absolute_error: 0.6616 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.5865 - val_mean_absolute_error: 0.5865 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5548 - val_mean_absolute_error: 0.5548 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5638 - val_mean_absolute_error: 0.5638 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.4803 - val_mean_absolute_error: 0.4803 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6795 - mean_absolute_error: 1.6795 - val_loss: 0.6201 - val_mean_absolute_error: 0.6201 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6359 - mean_absolute_error: 0.6359 - val_loss: 0.7522 - val_mean_absolute_error: 0.7522 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5749 - mean_absolute_error: 0.5749 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5797 - mean_absolute_error: 0.5797 - val_loss: 0.5492 - val_mean_absolute_error: 0.5492 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5481 - mean_absolute_error: 0.5481 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5432 - mean_absolute_error: 0.5432 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5290 - mean_absolute_error: 0.5290 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5401 - mean_absolute_error: 0.5401 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5364 - val_mean_absolute_error: 0.5364 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5276 - mean_absolute_error: 0.5276 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5219 - mean_absolute_error: 0.5219 - val_loss: 0.5608 - val_mean_absolute_error: 0.5608 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5460 - val_mean_absolute_error: 0.5460 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5067 - mean_absolute_error: 0.5067 - val_loss: 0.5594 - val_mean_absolute_error: 0.5594 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.7033 - val_mean_absolute_error: 0.7033 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4992 - mean_absolute_error: 0.4992 - val_loss: 0.6363 - val_mean_absolute_error: 0.6363 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5003 - mean_absolute_error: 0.5003 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5794 - val_mean_absolute_error: 0.5794 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5003 - mean_absolute_error: 0.5003 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5404 - val_mean_absolute_error: 0.5404 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.6086 - val_mean_absolute_error: 0.6086 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5791 - val_mean_absolute_error: 0.5791 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4816 - val_mean_absolute_error: 0.4816 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.4758 - val_mean_absolute_error: 0.4758 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4635 - mean_absolute_error: 0.4635 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.6069 - val_mean_absolute_error: 0.6069 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5481 - val_mean_absolute_error: 0.5481 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4594 - mean_absolute_error: 0.4594 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4580 - mean_absolute_error: 0.4580 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4478 - mean_absolute_error: 0.4478 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.1235 - mean_absolute_error: 1.1235 - val_loss: 0.7051 - val_mean_absolute_error: 0.7051 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5765 - mean_absolute_error: 0.5765 - val_loss: 0.5476 - val_mean_absolute_error: 0.5476 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5469 - mean_absolute_error: 0.5469 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5292 - mean_absolute_error: 0.5292 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5263 - mean_absolute_error: 0.5263 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5539 - val_mean_absolute_error: 0.5539 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4884 - mean_absolute_error: 0.4884 - val_loss: 0.5756 - val_mean_absolute_error: 0.5756 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4667 - mean_absolute_error: 0.4667 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4609 - mean_absolute_error: 0.4609 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4603 - mean_absolute_error: 0.4603 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4564 - mean_absolute_error: 0.4564 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mean_absolute_error: 0.4563 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4541 - mean_absolute_error: 0.4541 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.8918 - mean_absolute_error: 1.8918 - val_loss: 1.2224 - val_mean_absolute_error: 1.2224 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0619 - mean_absolute_error: 1.0619 - val_loss: 1.0781 - val_mean_absolute_error: 1.0781 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9763 - mean_absolute_error: 0.9763 - val_loss: 1.0124 - val_mean_absolute_error: 1.0124 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9288 - mean_absolute_error: 0.9288 - val_loss: 0.9695 - val_mean_absolute_error: 0.9695 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8976 - mean_absolute_error: 0.8976 - val_loss: 0.9393 - val_mean_absolute_error: 0.9393 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8740 - mean_absolute_error: 0.8740 - val_loss: 0.9164 - val_mean_absolute_error: 0.9164 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8561 - mean_absolute_error: 0.8561 - val_loss: 0.8979 - val_mean_absolute_error: 0.8979 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8415 - mean_absolute_error: 0.8415 - val_loss: 0.8824 - val_mean_absolute_error: 0.8824 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8291 - mean_absolute_error: 0.8291 - val_loss: 0.8695 - val_mean_absolute_error: 0.8695 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8189 - mean_absolute_error: 0.8189 - val_loss: 0.8584 - val_mean_absolute_error: 0.8584 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8096 - mean_absolute_error: 0.8096 - val_loss: 0.8485 - val_mean_absolute_error: 0.8485 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8015 - mean_absolute_error: 0.8015 - val_loss: 0.8396 - val_mean_absolute_error: 0.8396 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7946 - mean_absolute_error: 0.7946 - val_loss: 0.8319 - val_mean_absolute_error: 0.8319 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7884 - mean_absolute_error: 0.7884 - val_loss: 0.8252 - val_mean_absolute_error: 0.8252 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7828 - mean_absolute_error: 0.7828 - val_loss: 0.8190 - val_mean_absolute_error: 0.8190 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7778 - mean_absolute_error: 0.7778 - val_loss: 0.8135 - val_mean_absolute_error: 0.8135 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7732 - mean_absolute_error: 0.7732 - val_loss: 0.8085 - val_mean_absolute_error: 0.8085 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7689 - mean_absolute_error: 0.7689 - val_loss: 0.8041 - val_mean_absolute_error: 0.8041 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7648 - mean_absolute_error: 0.7648 - val_loss: 0.7998 - val_mean_absolute_error: 0.7998 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7610 - mean_absolute_error: 0.7610 - val_loss: 0.7957 - val_mean_absolute_error: 0.7957 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7574 - mean_absolute_error: 0.7574 - val_loss: 0.7919 - val_mean_absolute_error: 0.7919 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7540 - mean_absolute_error: 0.7540 - val_loss: 0.7883 - val_mean_absolute_error: 0.7883 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7508 - mean_absolute_error: 0.7508 - val_loss: 0.7849 - val_mean_absolute_error: 0.7849 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7479 - mean_absolute_error: 0.7479 - val_loss: 0.7818 - val_mean_absolute_error: 0.7818 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7450 - mean_absolute_error: 0.7450 - val_loss: 0.7787 - val_mean_absolute_error: 0.7787 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7422 - mean_absolute_error: 0.7422 - val_loss: 0.7759 - val_mean_absolute_error: 0.7759 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7396 - mean_absolute_error: 0.7396 - val_loss: 0.7732 - val_mean_absolute_error: 0.7732 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7371 - mean_absolute_error: 0.7371 - val_loss: 0.7706 - val_mean_absolute_error: 0.7706 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7347 - mean_absolute_error: 0.7347 - val_loss: 0.7681 - val_mean_absolute_error: 0.7681 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7325 - mean_absolute_error: 0.7325 - val_loss: 0.7658 - val_mean_absolute_error: 0.7658 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7303 - mean_absolute_error: 0.7303 - val_loss: 0.7636 - val_mean_absolute_error: 0.7636 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7283 - mean_absolute_error: 0.7283 - val_loss: 0.7615 - val_mean_absolute_error: 0.7615 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7263 - mean_absolute_error: 0.7263 - val_loss: 0.7594 - val_mean_absolute_error: 0.7594 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7245 - mean_absolute_error: 0.7245 - val_loss: 0.7574 - val_mean_absolute_error: 0.7574 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7226 - mean_absolute_error: 0.7226 - val_loss: 0.7555 - val_mean_absolute_error: 0.7555 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7209 - mean_absolute_error: 0.7209 - val_loss: 0.7537 - val_mean_absolute_error: 0.7537 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7192 - mean_absolute_error: 0.7192 - val_loss: 0.7519 - val_mean_absolute_error: 0.7519 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7176 - mean_absolute_error: 0.7176 - val_loss: 0.7502 - val_mean_absolute_error: 0.7502 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7160 - mean_absolute_error: 0.7160 - val_loss: 0.7486 - val_mean_absolute_error: 0.7486 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7145 - mean_absolute_error: 0.7145 - val_loss: 0.7470 - val_mean_absolute_error: 0.7470 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7130 - mean_absolute_error: 0.7130 - val_loss: 0.7454 - val_mean_absolute_error: 0.7454 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7115 - mean_absolute_error: 0.7115 - val_loss: 0.7439 - val_mean_absolute_error: 0.7439 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7101 - mean_absolute_error: 0.7101 - val_loss: 0.7424 - val_mean_absolute_error: 0.7424 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7088 - mean_absolute_error: 0.7088 - val_loss: 0.7410 - val_mean_absolute_error: 0.7410 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7074 - mean_absolute_error: 0.7074 - val_loss: 0.7396 - val_mean_absolute_error: 0.7396 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7061 - mean_absolute_error: 0.7061 - val_loss: 0.7382 - val_mean_absolute_error: 0.7382 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7048 - mean_absolute_error: 0.7048 - val_loss: 0.7368 - val_mean_absolute_error: 0.7368 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7036 - mean_absolute_error: 0.7036 - val_loss: 0.7355 - val_mean_absolute_error: 0.7355 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7024 - mean_absolute_error: 0.7024 - val_loss: 0.7342 - val_mean_absolute_error: 0.7342 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7013 - mean_absolute_error: 0.7013 - val_loss: 0.7330 - val_mean_absolute_error: 0.7330 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 1.2740 - mean_absolute_error: 1.2740 - val_loss: 0.7263 - val_mean_absolute_error: 0.7263 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7095 - mean_absolute_error: 0.7095 - val_loss: 0.7134 - val_mean_absolute_error: 0.7134 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6992 - mean_absolute_error: 0.6992 - val_loss: 0.7461 - val_mean_absolute_error: 0.7461 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6957 - mean_absolute_error: 0.6957 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7071 - mean_absolute_error: 0.7071 - val_loss: 0.7103 - val_mean_absolute_error: 0.7103 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7024 - mean_absolute_error: 0.7024 - val_loss: 0.6629 - val_mean_absolute_error: 0.6629 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7173 - mean_absolute_error: 0.7173 - val_loss: 0.6606 - val_mean_absolute_error: 0.6606 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7040 - mean_absolute_error: 0.7040 - val_loss: 0.7121 - val_mean_absolute_error: 0.7121 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6879 - val_mean_absolute_error: 0.6879 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7087 - mean_absolute_error: 0.7087 - val_loss: 0.7302 - val_mean_absolute_error: 0.7302 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7017 - mean_absolute_error: 0.7017 - val_loss: 0.7451 - val_mean_absolute_error: 0.7451 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7010 - mean_absolute_error: 0.7010 - val_loss: 0.6718 - val_mean_absolute_error: 0.6718 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7092 - mean_absolute_error: 0.7092 - val_loss: 0.9024 - val_mean_absolute_error: 0.9024 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7175 - mean_absolute_error: 0.7175 - val_loss: 0.6725 - val_mean_absolute_error: 0.6725 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7012 - mean_absolute_error: 0.7012 - val_loss: 0.6700 - val_mean_absolute_error: 0.6700 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7108 - mean_absolute_error: 0.7108 - val_loss: 0.7183 - val_mean_absolute_error: 0.7183 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6696 - val_mean_absolute_error: 0.6696 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7087 - mean_absolute_error: 0.7087 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7028 - mean_absolute_error: 0.7028 - val_loss: 0.7163 - val_mean_absolute_error: 0.7163 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6887 - mean_absolute_error: 0.6887 - val_loss: 0.7236 - val_mean_absolute_error: 0.7236 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7023 - mean_absolute_error: 0.7023 - val_loss: 0.6640 - val_mean_absolute_error: 0.6640 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6974 - mean_absolute_error: 0.6974 - val_loss: 0.7061 - val_mean_absolute_error: 0.7061 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7067 - mean_absolute_error: 0.7067 - val_loss: 0.7386 - val_mean_absolute_error: 0.7386 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6898 - mean_absolute_error: 0.6898 - val_loss: 0.6939 - val_mean_absolute_error: 0.6939 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6945 - mean_absolute_error: 0.6945 - val_loss: 0.6733 - val_mean_absolute_error: 0.6733 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6900 - mean_absolute_error: 0.6900 - val_loss: 0.6920 - val_mean_absolute_error: 0.6920 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6851 - mean_absolute_error: 0.6851 - val_loss: 0.6681 - val_mean_absolute_error: 0.6681 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.6784 - val_mean_absolute_error: 0.6784 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7119 - mean_absolute_error: 0.7119 - val_loss: 0.6683 - val_mean_absolute_error: 0.6683 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6991 - mean_absolute_error: 0.6991 - val_loss: 0.6951 - val_mean_absolute_error: 0.6951 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7281 - mean_absolute_error: 0.7281 - val_loss: 0.7022 - val_mean_absolute_error: 0.7022 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6972 - mean_absolute_error: 0.6972 - val_loss: 0.7044 - val_mean_absolute_error: 0.7044 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7154 - mean_absolute_error: 0.7154 - val_loss: 0.7863 - val_mean_absolute_error: 0.7863 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7044 - mean_absolute_error: 0.7044 - val_loss: 0.6762 - val_mean_absolute_error: 0.6762 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6940 - mean_absolute_error: 0.6940 - val_loss: 0.7608 - val_mean_absolute_error: 0.7608 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7159 - mean_absolute_error: 0.7159 - val_loss: 0.8149 - val_mean_absolute_error: 0.8149 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7134 - mean_absolute_error: 0.7134 - val_loss: 0.6956 - val_mean_absolute_error: 0.6956 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.6616 - val_mean_absolute_error: 0.6616 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6974 - mean_absolute_error: 0.6974 - val_loss: 0.7096 - val_mean_absolute_error: 0.7096 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7071 - mean_absolute_error: 0.7071 - val_loss: 0.6586 - val_mean_absolute_error: 0.6586 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7002 - mean_absolute_error: 0.7002 - val_loss: 0.6734 - val_mean_absolute_error: 0.6734 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6923 - mean_absolute_error: 0.6923 - val_loss: 0.6809 - val_mean_absolute_error: 0.6809 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7019 - mean_absolute_error: 0.7019 - val_loss: 0.6954 - val_mean_absolute_error: 0.6954 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6970 - mean_absolute_error: 0.6970 - val_loss: 0.7221 - val_mean_absolute_error: 0.7221 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7097 - mean_absolute_error: 0.7097 - val_loss: 0.6844 - val_mean_absolute_error: 0.6844 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7172 - mean_absolute_error: 0.7172 - val_loss: 0.7035 - val_mean_absolute_error: 0.7035 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7069 - mean_absolute_error: 0.7069 - val_loss: 0.7058 - val_mean_absolute_error: 0.7058 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7065 - mean_absolute_error: 0.7065 - val_loss: 0.7292 - val_mean_absolute_error: 0.7292 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4789 - mean_absolute_error: 1.4789 - val_loss: 0.6589 - val_mean_absolute_error: 0.6589 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6844 - mean_absolute_error: 0.6844 - val_loss: 0.6658 - val_mean_absolute_error: 0.6658 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6827 - mean_absolute_error: 0.6827 - val_loss: 0.7046 - val_mean_absolute_error: 0.7046 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7021 - mean_absolute_error: 0.7021 - val_loss: 0.7077 - val_mean_absolute_error: 0.7077 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6821 - mean_absolute_error: 0.6821 - val_loss: 0.6669 - val_mean_absolute_error: 0.6669 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6904 - mean_absolute_error: 0.6904 - val_loss: 0.6735 - val_mean_absolute_error: 0.6735 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.7379 - val_mean_absolute_error: 0.7379 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6952 - mean_absolute_error: 0.6952 - val_loss: 0.6685 - val_mean_absolute_error: 0.6685 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6971 - mean_absolute_error: 0.6971 - val_loss: 0.7048 - val_mean_absolute_error: 0.7048 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6989 - mean_absolute_error: 0.6989 - val_loss: 0.6761 - val_mean_absolute_error: 0.6761 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6785 - mean_absolute_error: 0.6785 - val_loss: 0.6726 - val_mean_absolute_error: 0.6726 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6647 - val_mean_absolute_error: 0.6647 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6992 - mean_absolute_error: 0.6992 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.6871 - val_mean_absolute_error: 0.6871 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6861 - mean_absolute_error: 0.6861 - val_loss: 0.6606 - val_mean_absolute_error: 0.6606 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6878 - mean_absolute_error: 0.6878 - val_loss: 0.6825 - val_mean_absolute_error: 0.6825 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.7108 - val_mean_absolute_error: 0.7108 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6608 - val_mean_absolute_error: 0.6608 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6951 - mean_absolute_error: 0.6951 - val_loss: 0.7084 - val_mean_absolute_error: 0.7084 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6940 - mean_absolute_error: 0.6940 - val_loss: 0.6654 - val_mean_absolute_error: 0.6654 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6949 - mean_absolute_error: 0.6949 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6923 - mean_absolute_error: 0.6923 - val_loss: 0.6715 - val_mean_absolute_error: 0.6715 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6842 - mean_absolute_error: 0.6842 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6986 - mean_absolute_error: 0.6986 - val_loss: 0.6994 - val_mean_absolute_error: 0.6994 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6854 - mean_absolute_error: 0.6854 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6908 - mean_absolute_error: 0.6908 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6834 - mean_absolute_error: 0.6834 - val_loss: 0.7090 - val_mean_absolute_error: 0.7090 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.7150 - val_mean_absolute_error: 0.7150 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.7110 - val_mean_absolute_error: 0.7110 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6954 - mean_absolute_error: 0.6954 - val_loss: 0.8890 - val_mean_absolute_error: 0.8890 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.8065 - val_mean_absolute_error: 0.8065 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6960 - mean_absolute_error: 0.6960 - val_loss: 0.6951 - val_mean_absolute_error: 0.6951 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6961 - mean_absolute_error: 0.6961 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6851 - mean_absolute_error: 0.6851 - val_loss: 0.6585 - val_mean_absolute_error: 0.6585 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.6888 - val_mean_absolute_error: 0.6888 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6885 - mean_absolute_error: 0.6885 - val_loss: 0.6958 - val_mean_absolute_error: 0.6958 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.6793 - val_mean_absolute_error: 0.6793 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6996 - val_mean_absolute_error: 0.6996 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7094 - mean_absolute_error: 0.7094 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6908 - mean_absolute_error: 0.6908 - val_loss: 0.6818 - val_mean_absolute_error: 0.6818 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6944 - mean_absolute_error: 0.6944 - val_loss: 0.6796 - val_mean_absolute_error: 0.6796 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6676 - mean_absolute_error: 0.6676 - val_loss: 0.6663 - val_mean_absolute_error: 0.6663 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.6791 - val_mean_absolute_error: 0.6791 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.6856 - val_mean_absolute_error: 0.6856 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6917 - mean_absolute_error: 0.6917 - val_loss: 0.7059 - val_mean_absolute_error: 0.7059 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6691 - mean_absolute_error: 0.6691 - val_loss: 0.6796 - val_mean_absolute_error: 0.6796 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.7970 - val_mean_absolute_error: 0.7970 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7014 - mean_absolute_error: 0.7014 - val_loss: 0.6727 - val_mean_absolute_error: 0.6727 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6671 - mean_absolute_error: 1.6671 - val_loss: 0.6609 - val_mean_absolute_error: 0.6609 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.7016 - val_mean_absolute_error: 0.7016 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6845 - mean_absolute_error: 0.6845 - val_loss: 0.6922 - val_mean_absolute_error: 0.6922 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6830 - mean_absolute_error: 0.6830 - val_loss: 0.6672 - val_mean_absolute_error: 0.6672 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6868 - mean_absolute_error: 0.6868 - val_loss: 0.7038 - val_mean_absolute_error: 0.7038 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7049 - mean_absolute_error: 0.7049 - val_loss: 0.7108 - val_mean_absolute_error: 0.7108 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6936 - mean_absolute_error: 0.6936 - val_loss: 0.7831 - val_mean_absolute_error: 0.7831 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6904 - mean_absolute_error: 0.6904 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6874 - mean_absolute_error: 0.6874 - val_loss: 0.6711 - val_mean_absolute_error: 0.6711 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6906 - mean_absolute_error: 0.6906 - val_loss: 0.6778 - val_mean_absolute_error: 0.6778 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6879 - mean_absolute_error: 0.6879 - val_loss: 0.6974 - val_mean_absolute_error: 0.6974 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6784 - mean_absolute_error: 0.6784 - val_loss: 0.7196 - val_mean_absolute_error: 0.7196 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6906 - mean_absolute_error: 0.6906 - val_loss: 0.6813 - val_mean_absolute_error: 0.6813 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6813 - mean_absolute_error: 0.6813 - val_loss: 0.6610 - val_mean_absolute_error: 0.6610 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.7715 - val_mean_absolute_error: 0.7715 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6954 - mean_absolute_error: 0.6954 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.7214 - val_mean_absolute_error: 0.7214 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.6794 - val_mean_absolute_error: 0.6794 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6966 - mean_absolute_error: 0.6966 - val_loss: 0.6696 - val_mean_absolute_error: 0.6696 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6830 - mean_absolute_error: 0.6830 - val_loss: 0.6724 - val_mean_absolute_error: 0.6724 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.6822 - val_mean_absolute_error: 0.6822 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6825 - mean_absolute_error: 0.6825 - val_loss: 0.6820 - val_mean_absolute_error: 0.6820 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.7033 - val_mean_absolute_error: 0.7033 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6872 - mean_absolute_error: 0.6872 - val_loss: 0.6823 - val_mean_absolute_error: 0.6823 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6796 - mean_absolute_error: 0.6796 - val_loss: 0.6974 - val_mean_absolute_error: 0.6974 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6794 - mean_absolute_error: 0.6794 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6862 - mean_absolute_error: 0.6862 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6932 - mean_absolute_error: 0.6932 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6965 - mean_absolute_error: 0.6965 - val_loss: 0.6761 - val_mean_absolute_error: 0.6761 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6808 - mean_absolute_error: 0.6808 - val_loss: 0.7127 - val_mean_absolute_error: 0.7127 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6957 - mean_absolute_error: 0.6957 - val_loss: 0.6961 - val_mean_absolute_error: 0.6961 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6825 - mean_absolute_error: 0.6825 - val_loss: 0.7152 - val_mean_absolute_error: 0.7152 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7001 - mean_absolute_error: 0.7001 - val_loss: 0.7240 - val_mean_absolute_error: 0.7240 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6914 - mean_absolute_error: 0.6914 - val_loss: 0.6923 - val_mean_absolute_error: 0.6923 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6818 - mean_absolute_error: 0.6818 - val_loss: 0.7029 - val_mean_absolute_error: 0.7029 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.6991 - val_mean_absolute_error: 0.6991 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6904 - mean_absolute_error: 0.6904 - val_loss: 0.6625 - val_mean_absolute_error: 0.6625 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6781 - val_mean_absolute_error: 0.6781 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6878 - mean_absolute_error: 0.6878 - val_loss: 0.6886 - val_mean_absolute_error: 0.6886 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6853 - mean_absolute_error: 0.6853 - val_loss: 0.6772 - val_mean_absolute_error: 0.6772 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.7063 - val_mean_absolute_error: 0.7063 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6967 - mean_absolute_error: 0.6967 - val_loss: 0.6679 - val_mean_absolute_error: 0.6679 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6752 - mean_absolute_error: 0.6752 - val_loss: 0.6596 - val_mean_absolute_error: 0.6596 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6900 - mean_absolute_error: 0.6900 - val_loss: 0.6818 - val_mean_absolute_error: 0.6818 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6906 - mean_absolute_error: 0.6906 - val_loss: 0.6722 - val_mean_absolute_error: 0.6722 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.7040 - val_mean_absolute_error: 0.7040 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6928 - mean_absolute_error: 0.6928 - val_loss: 0.7086 - val_mean_absolute_error: 0.7086 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6084 - mean_absolute_error: 1.6084 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.6810 - val_mean_absolute_error: 0.6810 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6811 - mean_absolute_error: 0.6811 - val_loss: 0.6927 - val_mean_absolute_error: 0.6927 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.6675 - val_mean_absolute_error: 0.6675 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6732 - mean_absolute_error: 0.6732 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6722 - mean_absolute_error: 0.6722 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6690 - mean_absolute_error: 0.6690 - val_loss: 0.6677 - val_mean_absolute_error: 0.6677 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6721 - mean_absolute_error: 0.6721 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6684 - mean_absolute_error: 0.6684 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6719 - mean_absolute_error: 0.6719 - val_loss: 0.6666 - val_mean_absolute_error: 0.6666 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6663 - mean_absolute_error: 0.6663 - val_loss: 0.6630 - val_mean_absolute_error: 0.6630 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6674 - mean_absolute_error: 0.6674 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6667 - mean_absolute_error: 0.6667 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6649 - mean_absolute_error: 0.6649 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6670 - mean_absolute_error: 0.6670 - val_loss: 0.6564 - val_mean_absolute_error: 0.6564 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6584 - val_mean_absolute_error: 0.6584 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6570 - val_mean_absolute_error: 0.6570 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6661 - mean_absolute_error: 0.6661 - val_loss: 0.6620 - val_mean_absolute_error: 0.6620 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6685 - mean_absolute_error: 0.6685 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6593 - val_mean_absolute_error: 0.6593 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6667 - mean_absolute_error: 0.6667 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6650 - mean_absolute_error: 0.6650 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6500 - val_mean_absolute_error: 0.6500 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3840 - mean_absolute_error: 1.3840 - val_loss: 0.6583 - val_mean_absolute_error: 0.6583 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6029 - mean_absolute_error: 0.6029 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5604 - mean_absolute_error: 0.5604 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5682 - mean_absolute_error: 0.5682 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5592 - mean_absolute_error: 0.5592 - val_loss: 0.5508 - val_mean_absolute_error: 0.5508 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5447 - mean_absolute_error: 0.5447 - val_loss: 0.5376 - val_mean_absolute_error: 0.5376 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5280 - mean_absolute_error: 0.5280 - val_loss: 0.5503 - val_mean_absolute_error: 0.5503 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5473 - mean_absolute_error: 0.5473 - val_loss: 0.5544 - val_mean_absolute_error: 0.5544 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5502 - mean_absolute_error: 0.5502 - val_loss: 0.7280 - val_mean_absolute_error: 0.7280 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5487 - mean_absolute_error: 0.5487 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5493 - mean_absolute_error: 0.5493 - val_loss: 0.6186 - val_mean_absolute_error: 0.6186 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5776 - mean_absolute_error: 0.5776 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5658 - mean_absolute_error: 0.5658 - val_loss: 0.6181 - val_mean_absolute_error: 0.6181 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5495 - mean_absolute_error: 0.5495 - val_loss: 0.6377 - val_mean_absolute_error: 0.6377 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5451 - mean_absolute_error: 0.5451 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.6109 - val_mean_absolute_error: 0.6109 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5353 - mean_absolute_error: 0.5353 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5491 - mean_absolute_error: 0.5491 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5417 - mean_absolute_error: 0.5417 - val_loss: 0.5357 - val_mean_absolute_error: 0.5357 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.6161 - val_mean_absolute_error: 0.6161 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5561 - mean_absolute_error: 0.5561 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5427 - mean_absolute_error: 0.5427 - val_loss: 0.5366 - val_mean_absolute_error: 0.5366 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5408 - mean_absolute_error: 0.5408 - val_loss: 0.6182 - val_mean_absolute_error: 0.6182 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5339 - mean_absolute_error: 0.5339 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5285 - mean_absolute_error: 0.5285 - val_loss: 0.6241 - val_mean_absolute_error: 0.6241 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5278 - mean_absolute_error: 0.5278 - val_loss: 0.6189 - val_mean_absolute_error: 0.6189 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5368 - mean_absolute_error: 0.5368 - val_loss: 0.5449 - val_mean_absolute_error: 0.5449 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5518 - val_mean_absolute_error: 0.5518 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5280 - mean_absolute_error: 0.5280 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5523 - mean_absolute_error: 0.5523 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5353 - mean_absolute_error: 0.5353 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5504 - mean_absolute_error: 0.5504 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5495 - mean_absolute_error: 0.5495 - val_loss: 0.6081 - val_mean_absolute_error: 0.6081 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5315 - mean_absolute_error: 0.5315 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5172 - mean_absolute_error: 0.5172 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5240 - mean_absolute_error: 0.5240 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5235 - mean_absolute_error: 0.5235 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5270 - mean_absolute_error: 0.5270 - val_loss: 0.5494 - val_mean_absolute_error: 0.5494 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.6158 - val_mean_absolute_error: 0.6158 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5868 - val_mean_absolute_error: 0.5868 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5399 - mean_absolute_error: 0.5399 - val_loss: 0.5628 - val_mean_absolute_error: 0.5628 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5421 - mean_absolute_error: 0.5421 - val_loss: 0.5526 - val_mean_absolute_error: 0.5526 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5275 - mean_absolute_error: 0.5275 - val_loss: 0.5586 - val_mean_absolute_error: 0.5586 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3773 - mean_absolute_error: 1.3773 - val_loss: 0.6683 - val_mean_absolute_error: 0.6683 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6924 - mean_absolute_error: 0.6924 - val_loss: 0.6988 - val_mean_absolute_error: 0.6988 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.7043 - val_mean_absolute_error: 0.7043 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.6634 - val_mean_absolute_error: 0.6634 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6809 - mean_absolute_error: 0.6809 - val_loss: 0.6864 - val_mean_absolute_error: 0.6864 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6853 - mean_absolute_error: 0.6853 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6856 - mean_absolute_error: 0.6856 - val_loss: 0.6972 - val_mean_absolute_error: 0.6972 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6784 - mean_absolute_error: 0.6784 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6795 - mean_absolute_error: 0.6795 - val_loss: 0.6831 - val_mean_absolute_error: 0.6831 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6775 - mean_absolute_error: 0.6775 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.6691 - val_mean_absolute_error: 0.6691 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6971 - val_mean_absolute_error: 0.6971 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6889 - mean_absolute_error: 0.6889 - val_loss: 0.6896 - val_mean_absolute_error: 0.6896 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6892 - mean_absolute_error: 0.6892 - val_loss: 0.6752 - val_mean_absolute_error: 0.6752 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6793 - mean_absolute_error: 0.6793 - val_loss: 0.6957 - val_mean_absolute_error: 0.6957 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6796 - mean_absolute_error: 0.6796 - val_loss: 0.7078 - val_mean_absolute_error: 0.7078 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6854 - mean_absolute_error: 0.6854 - val_loss: 0.6943 - val_mean_absolute_error: 0.6943 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6828 - val_mean_absolute_error: 0.6828 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6806 - mean_absolute_error: 0.6806 - val_loss: 0.6559 - val_mean_absolute_error: 0.6559 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6804 - mean_absolute_error: 0.6804 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6741 - mean_absolute_error: 0.6741 - val_loss: 0.7154 - val_mean_absolute_error: 0.7154 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6880 - mean_absolute_error: 0.6880 - val_loss: 0.6824 - val_mean_absolute_error: 0.6824 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6751 - mean_absolute_error: 0.6751 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6756 - val_mean_absolute_error: 0.6756 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6897 - mean_absolute_error: 0.6897 - val_loss: 0.6757 - val_mean_absolute_error: 0.6757 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6836 - mean_absolute_error: 0.6836 - val_loss: 0.6598 - val_mean_absolute_error: 0.6598 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6559 - val_mean_absolute_error: 0.6559 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6861 - mean_absolute_error: 0.6861 - val_loss: 0.6659 - val_mean_absolute_error: 0.6659 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6841 - mean_absolute_error: 0.6841 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6770 - mean_absolute_error: 0.6770 - val_loss: 0.7025 - val_mean_absolute_error: 0.7025 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.6857 - val_mean_absolute_error: 0.6857 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6806 - mean_absolute_error: 0.6806 - val_loss: 0.6725 - val_mean_absolute_error: 0.6725 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6802 - mean_absolute_error: 0.6802 - val_loss: 0.6936 - val_mean_absolute_error: 0.6936 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6620 - val_mean_absolute_error: 0.6620 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.6723 - val_mean_absolute_error: 0.6723 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.6720 - val_mean_absolute_error: 0.6720 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6779 - mean_absolute_error: 0.6779 - val_loss: 0.6902 - val_mean_absolute_error: 0.6902 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6858 - mean_absolute_error: 0.6858 - val_loss: 0.6962 - val_mean_absolute_error: 0.6962 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6736 - val_mean_absolute_error: 0.6736 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6823 - mean_absolute_error: 0.6823 - val_loss: 0.6803 - val_mean_absolute_error: 0.6803 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6796 - mean_absolute_error: 0.6796 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6859 - mean_absolute_error: 0.6859 - val_loss: 0.6730 - val_mean_absolute_error: 0.6730 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.6900 - val_mean_absolute_error: 0.6900 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6825 - mean_absolute_error: 0.6825 - val_loss: 0.6896 - val_mean_absolute_error: 0.6896 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6862 - mean_absolute_error: 0.6862 - val_loss: 0.6796 - val_mean_absolute_error: 0.6796 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4067 - mean_absolute_error: 1.4067 - val_loss: 0.6736 - val_mean_absolute_error: 0.6736 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6814 - mean_absolute_error: 0.6814 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6786 - mean_absolute_error: 0.6786 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6694 - mean_absolute_error: 0.6694 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6709 - mean_absolute_error: 0.6709 - val_loss: 0.6750 - val_mean_absolute_error: 0.6750 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6705 - mean_absolute_error: 0.6705 - val_loss: 0.6595 - val_mean_absolute_error: 0.6595 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6655 - mean_absolute_error: 0.6655 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6658 - mean_absolute_error: 0.6658 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6665 - mean_absolute_error: 0.6665 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6649 - mean_absolute_error: 0.6649 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6583 - val_mean_absolute_error: 0.6583 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6572 - val_mean_absolute_error: 0.6572 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6672 - val_mean_absolute_error: 0.6672 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6649 - mean_absolute_error: 0.6649 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6584 - val_mean_absolute_error: 0.6584 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6500 - val_mean_absolute_error: 0.6500 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9553 - mean_absolute_error: 1.9553 - val_loss: 0.8485 - val_mean_absolute_error: 0.8485 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7584 - mean_absolute_error: 0.7584 - val_loss: 0.7572 - val_mean_absolute_error: 0.7572 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7094 - mean_absolute_error: 0.7094 - val_loss: 0.7303 - val_mean_absolute_error: 0.7303 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6910 - mean_absolute_error: 0.6910 - val_loss: 0.7139 - val_mean_absolute_error: 0.7139 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.7045 - val_mean_absolute_error: 0.7045 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6705 - mean_absolute_error: 0.6705 - val_loss: 0.6969 - val_mean_absolute_error: 0.6969 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6910 - val_mean_absolute_error: 0.6910 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6570 - mean_absolute_error: 0.6570 - val_loss: 0.6856 - val_mean_absolute_error: 0.6856 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6518 - mean_absolute_error: 0.6518 - val_loss: 0.6813 - val_mean_absolute_error: 0.6813 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6472 - mean_absolute_error: 0.6472 - val_loss: 0.6775 - val_mean_absolute_error: 0.6775 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6433 - mean_absolute_error: 0.6433 - val_loss: 0.6743 - val_mean_absolute_error: 0.6743 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6397 - mean_absolute_error: 0.6397 - val_loss: 0.6712 - val_mean_absolute_error: 0.6712 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6363 - mean_absolute_error: 0.6363 - val_loss: 0.6685 - val_mean_absolute_error: 0.6685 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6334 - mean_absolute_error: 0.6334 - val_loss: 0.6659 - val_mean_absolute_error: 0.6659 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6304 - mean_absolute_error: 0.6304 - val_loss: 0.6635 - val_mean_absolute_error: 0.6635 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6279 - mean_absolute_error: 0.6279 - val_loss: 0.6614 - val_mean_absolute_error: 0.6614 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6256 - mean_absolute_error: 0.6256 - val_loss: 0.6594 - val_mean_absolute_error: 0.6594 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6234 - mean_absolute_error: 0.6234 - val_loss: 0.6575 - val_mean_absolute_error: 0.6575 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6214 - mean_absolute_error: 0.6214 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6195 - mean_absolute_error: 0.6195 - val_loss: 0.6540 - val_mean_absolute_error: 0.6540 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6178 - mean_absolute_error: 0.6178 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6162 - mean_absolute_error: 0.6162 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6147 - mean_absolute_error: 0.6147 - val_loss: 0.6495 - val_mean_absolute_error: 0.6495 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6133 - mean_absolute_error: 0.6133 - val_loss: 0.6481 - val_mean_absolute_error: 0.6481 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6117 - mean_absolute_error: 0.6117 - val_loss: 0.6467 - val_mean_absolute_error: 0.6467 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6104 - mean_absolute_error: 0.6104 - val_loss: 0.6453 - val_mean_absolute_error: 0.6453 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6091 - mean_absolute_error: 0.6091 - val_loss: 0.6441 - val_mean_absolute_error: 0.6441 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6079 - mean_absolute_error: 0.6079 - val_loss: 0.6429 - val_mean_absolute_error: 0.6429 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6067 - mean_absolute_error: 0.6067 - val_loss: 0.6417 - val_mean_absolute_error: 0.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6056 - mean_absolute_error: 0.6056 - val_loss: 0.6407 - val_mean_absolute_error: 0.6407 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6045 - mean_absolute_error: 0.6045 - val_loss: 0.6396 - val_mean_absolute_error: 0.6396 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6033 - mean_absolute_error: 0.6033 - val_loss: 0.6386 - val_mean_absolute_error: 0.6386 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6022 - mean_absolute_error: 0.6022 - val_loss: 0.6376 - val_mean_absolute_error: 0.6376 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6014 - mean_absolute_error: 0.6014 - val_loss: 0.6366 - val_mean_absolute_error: 0.6366 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6002 - mean_absolute_error: 0.6002 - val_loss: 0.6357 - val_mean_absolute_error: 0.6357 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5993 - mean_absolute_error: 0.5993 - val_loss: 0.6347 - val_mean_absolute_error: 0.6347 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5983 - mean_absolute_error: 0.5983 - val_loss: 0.6338 - val_mean_absolute_error: 0.6338 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5974 - mean_absolute_error: 0.5974 - val_loss: 0.6329 - val_mean_absolute_error: 0.6329 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5964 - mean_absolute_error: 0.5964 - val_loss: 0.6320 - val_mean_absolute_error: 0.6320 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5955 - mean_absolute_error: 0.5955 - val_loss: 0.6310 - val_mean_absolute_error: 0.6310 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5946 - mean_absolute_error: 0.5946 - val_loss: 0.6302 - val_mean_absolute_error: 0.6302 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5937 - mean_absolute_error: 0.5937 - val_loss: 0.6293 - val_mean_absolute_error: 0.6293 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5928 - mean_absolute_error: 0.5928 - val_loss: 0.6284 - val_mean_absolute_error: 0.6284 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5920 - mean_absolute_error: 0.5920 - val_loss: 0.6276 - val_mean_absolute_error: 0.6276 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5911 - mean_absolute_error: 0.5911 - val_loss: 0.6267 - val_mean_absolute_error: 0.6267 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5904 - mean_absolute_error: 0.5904 - val_loss: 0.6259 - val_mean_absolute_error: 0.6259 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5895 - mean_absolute_error: 0.5895 - val_loss: 0.6251 - val_mean_absolute_error: 0.6251 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5887 - mean_absolute_error: 0.5887 - val_loss: 0.6244 - val_mean_absolute_error: 0.6244 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5880 - mean_absolute_error: 0.5880 - val_loss: 0.6236 - val_mean_absolute_error: 0.6236 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5873 - mean_absolute_error: 0.5873 - val_loss: 0.6229 - val_mean_absolute_error: 0.6229 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6101 - mean_absolute_error: 5.6101 - val_loss: 5.5576 - val_mean_absolute_error: 5.5576 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4679 - mean_absolute_error: 5.4679 - val_loss: 5.3806 - val_mean_absolute_error: 5.3806 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2894 - mean_absolute_error: 5.2894 - val_loss: 5.2030 - val_mean_absolute_error: 5.2030 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1118 - mean_absolute_error: 5.1118 - val_loss: 5.0262 - val_mean_absolute_error: 5.0262 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9348 - mean_absolute_error: 4.9348 - val_loss: 4.8497 - val_mean_absolute_error: 4.8497 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7579 - mean_absolute_error: 4.7579 - val_loss: 4.6729 - val_mean_absolute_error: 4.6729 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5809 - mean_absolute_error: 4.5809 - val_loss: 4.4959 - val_mean_absolute_error: 4.4959 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4032 - mean_absolute_error: 4.4032 - val_loss: 4.3174 - val_mean_absolute_error: 4.3174 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2233 - mean_absolute_error: 4.2233 - val_loss: 4.1352 - val_mean_absolute_error: 4.1352 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0374 - mean_absolute_error: 4.0374 - val_loss: 3.9426 - val_mean_absolute_error: 3.9426 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8372 - mean_absolute_error: 3.8372 - val_loss: 3.7334 - val_mean_absolute_error: 3.7334 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6139 - mean_absolute_error: 3.6139 - val_loss: 3.4971 - val_mean_absolute_error: 3.4971 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3550 - mean_absolute_error: 3.3550 - val_loss: 3.2205 - val_mean_absolute_error: 3.2205 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0413 - mean_absolute_error: 3.0413 - val_loss: 2.8680 - val_mean_absolute_error: 2.8680 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6107 - mean_absolute_error: 2.6107 - val_loss: 2.3389 - val_mean_absolute_error: 2.3389 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9039 - mean_absolute_error: 1.9039 - val_loss: 1.4352 - val_mean_absolute_error: 1.4352 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0956 - mean_absolute_error: 1.0956 - val_loss: 0.9477 - val_mean_absolute_error: 0.9477 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8011 - mean_absolute_error: 0.8011 - val_loss: 0.7859 - val_mean_absolute_error: 0.7859 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7001 - mean_absolute_error: 0.7001 - val_loss: 0.7019 - val_mean_absolute_error: 0.7019 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6469 - mean_absolute_error: 0.6469 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6155 - mean_absolute_error: 0.6155 - val_loss: 0.6261 - val_mean_absolute_error: 0.6261 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5979 - mean_absolute_error: 0.5979 - val_loss: 0.6091 - val_mean_absolute_error: 0.6091 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5849 - mean_absolute_error: 0.5849 - val_loss: 0.5967 - val_mean_absolute_error: 0.5967 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5744 - mean_absolute_error: 0.5744 - val_loss: 0.5875 - val_mean_absolute_error: 0.5875 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5656 - mean_absolute_error: 0.5656 - val_loss: 0.5797 - val_mean_absolute_error: 0.5797 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5586 - mean_absolute_error: 0.5586 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5521 - mean_absolute_error: 0.5521 - val_loss: 0.5664 - val_mean_absolute_error: 0.5664 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5464 - mean_absolute_error: 0.5464 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5413 - mean_absolute_error: 0.5413 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5359 - mean_absolute_error: 0.5359 - val_loss: 0.5540 - val_mean_absolute_error: 0.5540 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5503 - val_mean_absolute_error: 0.5503 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5486 - val_mean_absolute_error: 0.5486 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5271 - mean_absolute_error: 0.5271 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5434 - val_mean_absolute_error: 0.5434 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5417 - val_mean_absolute_error: 0.5417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5163 - mean_absolute_error: 0.5163 - val_loss: 0.5389 - val_mean_absolute_error: 0.5389 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5138 - mean_absolute_error: 0.5138 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5123 - mean_absolute_error: 0.5123 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5095 - mean_absolute_error: 0.5095 - val_loss: 0.5338 - val_mean_absolute_error: 0.5338 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5330 - val_mean_absolute_error: 0.5330 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5038 - mean_absolute_error: 0.5038 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5276 - val_mean_absolute_error: 0.5276 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5276 - val_mean_absolute_error: 0.5276 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.3989 - mean_absolute_error: 5.3989 - val_loss: 5.0260 - val_mean_absolute_error: 5.0260 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3327 - mean_absolute_error: 4.3327 - val_loss: 3.4831 - val_mean_absolute_error: 3.4831 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4344 - mean_absolute_error: 2.4344 - val_loss: 1.4846 - val_mean_absolute_error: 1.4846 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2024 - mean_absolute_error: 1.2024 - val_loss: 1.1038 - val_mean_absolute_error: 1.1038 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9734 - mean_absolute_error: 0.9734 - val_loss: 0.9437 - val_mean_absolute_error: 0.9437 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8527 - mean_absolute_error: 0.8527 - val_loss: 0.8424 - val_mean_absolute_error: 0.8424 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7633 - mean_absolute_error: 0.7633 - val_loss: 0.7589 - val_mean_absolute_error: 0.7589 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.6998 - val_mean_absolute_error: 0.6998 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6455 - mean_absolute_error: 0.6455 - val_loss: 0.6559 - val_mean_absolute_error: 0.6559 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6097 - mean_absolute_error: 0.6097 - val_loss: 0.6318 - val_mean_absolute_error: 0.6318 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5874 - mean_absolute_error: 0.5874 - val_loss: 0.6066 - val_mean_absolute_error: 0.6066 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5700 - mean_absolute_error: 0.5700 - val_loss: 0.5936 - val_mean_absolute_error: 0.5936 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5569 - mean_absolute_error: 0.5569 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5484 - mean_absolute_error: 0.5484 - val_loss: 0.5665 - val_mean_absolute_error: 0.5665 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5411 - mean_absolute_error: 0.5411 - val_loss: 0.5630 - val_mean_absolute_error: 0.5630 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5341 - mean_absolute_error: 0.5341 - val_loss: 0.5538 - val_mean_absolute_error: 0.5538 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5314 - mean_absolute_error: 0.5314 - val_loss: 0.5516 - val_mean_absolute_error: 0.5516 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5269 - mean_absolute_error: 0.5269 - val_loss: 0.5503 - val_mean_absolute_error: 0.5503 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5248 - mean_absolute_error: 0.5248 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5212 - mean_absolute_error: 0.5212 - val_loss: 0.5409 - val_mean_absolute_error: 0.5409 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5373 - val_mean_absolute_error: 0.5373 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5137 - mean_absolute_error: 0.5137 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5125 - mean_absolute_error: 0.5125 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5068 - mean_absolute_error: 0.5068 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5109 - mean_absolute_error: 0.5109 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5274 - val_mean_absolute_error: 0.5274 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5030 - mean_absolute_error: 0.5030 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5223 - val_mean_absolute_error: 0.5223 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_absolute_error: 0.4958 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.1962 - mean_absolute_error: 5.1962 - val_loss: 4.8982 - val_mean_absolute_error: 4.8982 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5935 - mean_absolute_error: 4.5935 - val_loss: 4.1806 - val_mean_absolute_error: 4.1806 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7786 - mean_absolute_error: 3.7786 - val_loss: 3.2390 - val_mean_absolute_error: 3.2390 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8074 - mean_absolute_error: 2.8074 - val_loss: 2.3429 - val_mean_absolute_error: 2.3429 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1183 - mean_absolute_error: 2.1183 - val_loss: 1.9013 - val_mean_absolute_error: 1.9013 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7475 - mean_absolute_error: 1.7475 - val_loss: 1.7064 - val_mean_absolute_error: 1.7064 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5626 - mean_absolute_error: 1.5626 - val_loss: 1.5682 - val_mean_absolute_error: 1.5682 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4333 - mean_absolute_error: 1.4333 - val_loss: 1.4584 - val_mean_absolute_error: 1.4584 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3305 - mean_absolute_error: 1.3305 - val_loss: 1.3645 - val_mean_absolute_error: 1.3645 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2460 - mean_absolute_error: 1.2460 - val_loss: 1.2897 - val_mean_absolute_error: 1.2897 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1743 - mean_absolute_error: 1.1743 - val_loss: 1.2210 - val_mean_absolute_error: 1.2210 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1144 - mean_absolute_error: 1.1144 - val_loss: 1.1617 - val_mean_absolute_error: 1.1617 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0617 - mean_absolute_error: 1.0617 - val_loss: 1.1094 - val_mean_absolute_error: 1.1094 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0161 - mean_absolute_error: 1.0161 - val_loss: 1.0634 - val_mean_absolute_error: 1.0634 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9755 - mean_absolute_error: 0.9755 - val_loss: 1.0243 - val_mean_absolute_error: 1.0243 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9411 - mean_absolute_error: 0.9411 - val_loss: 0.9878 - val_mean_absolute_error: 0.9878 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9103 - mean_absolute_error: 0.9103 - val_loss: 0.9553 - val_mean_absolute_error: 0.9553 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8818 - mean_absolute_error: 0.8818 - val_loss: 0.9253 - val_mean_absolute_error: 0.9253 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8556 - mean_absolute_error: 0.8556 - val_loss: 0.8984 - val_mean_absolute_error: 0.8984 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8317 - mean_absolute_error: 0.8317 - val_loss: 0.8729 - val_mean_absolute_error: 0.8729 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8103 - mean_absolute_error: 0.8103 - val_loss: 0.8504 - val_mean_absolute_error: 0.8504 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7914 - mean_absolute_error: 0.7914 - val_loss: 0.8298 - val_mean_absolute_error: 0.8298 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7733 - mean_absolute_error: 0.7733 - val_loss: 0.8108 - val_mean_absolute_error: 0.8108 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7568 - mean_absolute_error: 0.7568 - val_loss: 0.7932 - val_mean_absolute_error: 0.7932 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7418 - mean_absolute_error: 0.7418 - val_loss: 0.7771 - val_mean_absolute_error: 0.7771 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7288 - mean_absolute_error: 0.7288 - val_loss: 0.7632 - val_mean_absolute_error: 0.7632 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7173 - mean_absolute_error: 0.7173 - val_loss: 0.7504 - val_mean_absolute_error: 0.7504 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7074 - mean_absolute_error: 0.7074 - val_loss: 0.7400 - val_mean_absolute_error: 0.7400 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6987 - mean_absolute_error: 0.6987 - val_loss: 0.7305 - val_mean_absolute_error: 0.7305 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6908 - mean_absolute_error: 0.6908 - val_loss: 0.7224 - val_mean_absolute_error: 0.7224 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.7149 - val_mean_absolute_error: 0.7149 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6775 - mean_absolute_error: 0.6775 - val_loss: 0.7084 - val_mean_absolute_error: 0.7084 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6717 - mean_absolute_error: 0.6717 - val_loss: 0.7020 - val_mean_absolute_error: 0.7020 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6663 - mean_absolute_error: 0.6663 - val_loss: 0.6956 - val_mean_absolute_error: 0.6956 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6906 - val_mean_absolute_error: 0.6906 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6569 - mean_absolute_error: 0.6569 - val_loss: 0.6861 - val_mean_absolute_error: 0.6861 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6525 - mean_absolute_error: 0.6525 - val_loss: 0.6810 - val_mean_absolute_error: 0.6810 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6481 - mean_absolute_error: 0.6481 - val_loss: 0.6776 - val_mean_absolute_error: 0.6776 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6441 - mean_absolute_error: 0.6441 - val_loss: 0.6734 - val_mean_absolute_error: 0.6734 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6407 - mean_absolute_error: 0.6407 - val_loss: 0.6698 - val_mean_absolute_error: 0.6698 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6374 - mean_absolute_error: 0.6374 - val_loss: 0.6658 - val_mean_absolute_error: 0.6658 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6345 - mean_absolute_error: 0.6345 - val_loss: 0.6632 - val_mean_absolute_error: 0.6632 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6321 - mean_absolute_error: 0.6321 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6297 - mean_absolute_error: 0.6297 - val_loss: 0.6579 - val_mean_absolute_error: 0.6579 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6273 - mean_absolute_error: 0.6273 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6252 - mean_absolute_error: 0.6252 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6231 - mean_absolute_error: 0.6231 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6212 - mean_absolute_error: 0.6212 - val_loss: 0.6482 - val_mean_absolute_error: 0.6482 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6195 - mean_absolute_error: 0.6195 - val_loss: 0.6462 - val_mean_absolute_error: 0.6462 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6178 - mean_absolute_error: 0.6178 - val_loss: 0.6441 - val_mean_absolute_error: 0.6441 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5922 - mean_absolute_error: 5.5922 - val_loss: 5.5963 - val_mean_absolute_error: 5.5963 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5812 - mean_absolute_error: 5.5812 - val_loss: 5.5914 - val_mean_absolute_error: 5.5914 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5774 - mean_absolute_error: 5.5774 - val_loss: 5.5886 - val_mean_absolute_error: 5.5886 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5750 - mean_absolute_error: 5.5750 - val_loss: 5.5867 - val_mean_absolute_error: 5.5867 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5732 - mean_absolute_error: 5.5732 - val_loss: 5.5852 - val_mean_absolute_error: 5.5852 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5839 - val_mean_absolute_error: 5.5839 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5829 - val_mean_absolute_error: 5.5829 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5819 - val_mean_absolute_error: 5.5819 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5811 - val_mean_absolute_error: 5.5811 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5679 - mean_absolute_error: 5.5679 - val_loss: 5.5804 - val_mean_absolute_error: 5.5804 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5672 - mean_absolute_error: 5.5672 - val_loss: 5.5798 - val_mean_absolute_error: 5.5798 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5666 - mean_absolute_error: 5.5666 - val_loss: 5.5792 - val_mean_absolute_error: 5.5792 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5660 - mean_absolute_error: 5.5660 - val_loss: 5.5786 - val_mean_absolute_error: 5.5786 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5654 - mean_absolute_error: 5.5654 - val_loss: 5.5781 - val_mean_absolute_error: 5.5781 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5649 - mean_absolute_error: 5.5649 - val_loss: 5.5776 - val_mean_absolute_error: 5.5776 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5644 - mean_absolute_error: 5.5644 - val_loss: 5.5772 - val_mean_absolute_error: 5.5772 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5640 - mean_absolute_error: 5.5640 - val_loss: 5.5768 - val_mean_absolute_error: 5.5768 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5636 - mean_absolute_error: 5.5636 - val_loss: 5.5764 - val_mean_absolute_error: 5.5764 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5632 - mean_absolute_error: 5.5632 - val_loss: 5.5760 - val_mean_absolute_error: 5.5760 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5628 - mean_absolute_error: 5.5628 - val_loss: 5.5756 - val_mean_absolute_error: 5.5756 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5625 - mean_absolute_error: 5.5625 - val_loss: 5.5753 - val_mean_absolute_error: 5.5753 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5621 - mean_absolute_error: 5.5621 - val_loss: 5.5750 - val_mean_absolute_error: 5.5750 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5618 - mean_absolute_error: 5.5618 - val_loss: 5.5747 - val_mean_absolute_error: 5.5747 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5615 - mean_absolute_error: 5.5615 - val_loss: 5.5744 - val_mean_absolute_error: 5.5744 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5612 - mean_absolute_error: 5.5612 - val_loss: 5.5741 - val_mean_absolute_error: 5.5741 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5609 - mean_absolute_error: 5.5609 - val_loss: 5.5738 - val_mean_absolute_error: 5.5738 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5606 - mean_absolute_error: 5.5606 - val_loss: 5.5735 - val_mean_absolute_error: 5.5735 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5603 - mean_absolute_error: 5.5603 - val_loss: 5.5733 - val_mean_absolute_error: 5.5733 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5601 - mean_absolute_error: 5.5601 - val_loss: 5.5730 - val_mean_absolute_error: 5.5730 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5598 - mean_absolute_error: 5.5598 - val_loss: 5.5728 - val_mean_absolute_error: 5.5728 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5596 - mean_absolute_error: 5.5596 - val_loss: 5.5726 - val_mean_absolute_error: 5.5726 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5594 - mean_absolute_error: 5.5594 - val_loss: 5.5723 - val_mean_absolute_error: 5.5723 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5591 - mean_absolute_error: 5.5591 - val_loss: 5.5721 - val_mean_absolute_error: 5.5721 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5589 - mean_absolute_error: 5.5589 - val_loss: 5.5719 - val_mean_absolute_error: 5.5719 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5587 - mean_absolute_error: 5.5587 - val_loss: 5.5717 - val_mean_absolute_error: 5.5717 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5585 - mean_absolute_error: 5.5585 - val_loss: 5.5715 - val_mean_absolute_error: 5.5715 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5583 - mean_absolute_error: 5.5583 - val_loss: 5.5713 - val_mean_absolute_error: 5.5713 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5581 - mean_absolute_error: 5.5581 - val_loss: 5.5711 - val_mean_absolute_error: 5.5711 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5579 - mean_absolute_error: 5.5579 - val_loss: 5.5709 - val_mean_absolute_error: 5.5709 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5577 - mean_absolute_error: 5.5577 - val_loss: 5.5708 - val_mean_absolute_error: 5.5708 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5575 - mean_absolute_error: 5.5575 - val_loss: 5.5706 - val_mean_absolute_error: 5.5706 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5574 - mean_absolute_error: 5.5574 - val_loss: 5.5704 - val_mean_absolute_error: 5.5704 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5572 - mean_absolute_error: 5.5572 - val_loss: 5.5702 - val_mean_absolute_error: 5.5702 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5570 - mean_absolute_error: 5.5570 - val_loss: 5.5701 - val_mean_absolute_error: 5.5701 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5569 - mean_absolute_error: 5.5569 - val_loss: 5.5699 - val_mean_absolute_error: 5.5699 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5567 - mean_absolute_error: 5.5567 - val_loss: 5.5698 - val_mean_absolute_error: 5.5698 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5565 - mean_absolute_error: 5.5565 - val_loss: 5.5696 - val_mean_absolute_error: 5.5696 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5564 - mean_absolute_error: 5.5564 - val_loss: 5.5695 - val_mean_absolute_error: 5.5695 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5562 - mean_absolute_error: 5.5562 - val_loss: 5.5693 - val_mean_absolute_error: 5.5693 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5561 - mean_absolute_error: 5.5561 - val_loss: 5.5692 - val_mean_absolute_error: 5.5692 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.8856 - mean_absolute_error: 3.8856 - val_loss: 2.8855 - val_mean_absolute_error: 2.8855 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2019 - mean_absolute_error: 2.2019 - val_loss: 1.8729 - val_mean_absolute_error: 1.8729 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6542 - mean_absolute_error: 1.6542 - val_loss: 1.6302 - val_mean_absolute_error: 1.6302 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4553 - mean_absolute_error: 1.4553 - val_loss: 1.4655 - val_mean_absolute_error: 1.4655 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2982 - mean_absolute_error: 1.2982 - val_loss: 1.3276 - val_mean_absolute_error: 1.3276 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1708 - mean_absolute_error: 1.1708 - val_loss: 1.2109 - val_mean_absolute_error: 1.2109 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0648 - mean_absolute_error: 1.0648 - val_loss: 1.1103 - val_mean_absolute_error: 1.1103 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9773 - mean_absolute_error: 0.9773 - val_loss: 1.0356 - val_mean_absolute_error: 1.0356 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9086 - mean_absolute_error: 0.9086 - val_loss: 0.9753 - val_mean_absolute_error: 0.9753 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8489 - mean_absolute_error: 0.8489 - val_loss: 0.9174 - val_mean_absolute_error: 0.9174 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8006 - mean_absolute_error: 0.8006 - val_loss: 0.8653 - val_mean_absolute_error: 0.8653 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7590 - mean_absolute_error: 0.7590 - val_loss: 0.8221 - val_mean_absolute_error: 0.8221 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7241 - mean_absolute_error: 0.7241 - val_loss: 0.7849 - val_mean_absolute_error: 0.7849 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6935 - mean_absolute_error: 0.6935 - val_loss: 0.7513 - val_mean_absolute_error: 0.7513 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6676 - mean_absolute_error: 0.6676 - val_loss: 0.7268 - val_mean_absolute_error: 0.7268 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6458 - mean_absolute_error: 0.6458 - val_loss: 0.7070 - val_mean_absolute_error: 0.7070 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6302 - mean_absolute_error: 0.6302 - val_loss: 0.6852 - val_mean_absolute_error: 0.6852 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6136 - mean_absolute_error: 0.6136 - val_loss: 0.6706 - val_mean_absolute_error: 0.6706 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6007 - mean_absolute_error: 0.6007 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5893 - mean_absolute_error: 0.5893 - val_loss: 0.6418 - val_mean_absolute_error: 0.6418 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5768 - mean_absolute_error: 0.5768 - val_loss: 0.6319 - val_mean_absolute_error: 0.6319 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5679 - mean_absolute_error: 0.5679 - val_loss: 0.6162 - val_mean_absolute_error: 0.6162 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5601 - mean_absolute_error: 0.5601 - val_loss: 0.6090 - val_mean_absolute_error: 0.6090 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5524 - mean_absolute_error: 0.5524 - val_loss: 0.5978 - val_mean_absolute_error: 0.5978 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5462 - mean_absolute_error: 0.5462 - val_loss: 0.5885 - val_mean_absolute_error: 0.5885 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5402 - mean_absolute_error: 0.5402 - val_loss: 0.5818 - val_mean_absolute_error: 0.5818 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5352 - mean_absolute_error: 0.5352 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5308 - mean_absolute_error: 0.5308 - val_loss: 0.5724 - val_mean_absolute_error: 0.5724 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5265 - mean_absolute_error: 0.5265 - val_loss: 0.5661 - val_mean_absolute_error: 0.5661 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5224 - mean_absolute_error: 0.5224 - val_loss: 0.5626 - val_mean_absolute_error: 0.5626 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5536 - val_mean_absolute_error: 0.5536 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5554 - val_mean_absolute_error: 0.5554 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5127 - mean_absolute_error: 0.5127 - val_loss: 0.5492 - val_mean_absolute_error: 0.5492 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5113 - mean_absolute_error: 0.5113 - val_loss: 0.5470 - val_mean_absolute_error: 0.5470 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5459 - val_mean_absolute_error: 0.5459 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5454 - val_mean_absolute_error: 0.5454 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5461 - val_mean_absolute_error: 0.5461 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5423 - val_mean_absolute_error: 0.5423 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4821 - mean_absolute_error: 5.4821 - val_loss: 5.4005 - val_mean_absolute_error: 5.4005 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3167 - mean_absolute_error: 5.3167 - val_loss: 5.2495 - val_mean_absolute_error: 5.2495 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1776 - mean_absolute_error: 5.1776 - val_loss: 5.1221 - val_mean_absolute_error: 5.1221 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0581 - mean_absolute_error: 5.0581 - val_loss: 5.0106 - val_mean_absolute_error: 5.0106 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9523 - mean_absolute_error: 4.9523 - val_loss: 4.9108 - val_mean_absolute_error: 4.9108 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8568 - mean_absolute_error: 4.8568 - val_loss: 4.8197 - val_mean_absolute_error: 4.8197 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7692 - mean_absolute_error: 4.7692 - val_loss: 4.7355 - val_mean_absolute_error: 4.7355 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6877 - mean_absolute_error: 4.6877 - val_loss: 4.6568 - val_mean_absolute_error: 4.6568 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6112 - mean_absolute_error: 4.6112 - val_loss: 4.5828 - val_mean_absolute_error: 4.5828 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5390 - mean_absolute_error: 4.5390 - val_loss: 4.5128 - val_mean_absolute_error: 4.5128 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4705 - mean_absolute_error: 4.4705 - val_loss: 4.4462 - val_mean_absolute_error: 4.4462 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4052 - mean_absolute_error: 4.4052 - val_loss: 4.3826 - val_mean_absolute_error: 4.3826 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3427 - mean_absolute_error: 4.3427 - val_loss: 4.3214 - val_mean_absolute_error: 4.3214 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2828 - mean_absolute_error: 4.2828 - val_loss: 4.2624 - val_mean_absolute_error: 4.2624 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2249 - mean_absolute_error: 4.2249 - val_loss: 4.2054 - val_mean_absolute_error: 4.2054 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1690 - mean_absolute_error: 4.1690 - val_loss: 4.1501 - val_mean_absolute_error: 4.1501 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1149 - mean_absolute_error: 4.1149 - val_loss: 4.0965 - val_mean_absolute_error: 4.0965 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0623 - mean_absolute_error: 4.0623 - val_loss: 4.0444 - val_mean_absolute_error: 4.0444 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0112 - mean_absolute_error: 4.0112 - val_loss: 3.9937 - val_mean_absolute_error: 3.9937 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9614 - mean_absolute_error: 3.9614 - val_loss: 3.9441 - val_mean_absolute_error: 3.9441 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9128 - mean_absolute_error: 3.9128 - val_loss: 3.8957 - val_mean_absolute_error: 3.8957 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8652 - mean_absolute_error: 3.8652 - val_loss: 3.8483 - val_mean_absolute_error: 3.8483 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8187 - mean_absolute_error: 3.8187 - val_loss: 3.8018 - val_mean_absolute_error: 3.8018 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7731 - mean_absolute_error: 3.7731 - val_loss: 3.7563 - val_mean_absolute_error: 3.7563 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7283 - mean_absolute_error: 3.7283 - val_loss: 3.7116 - val_mean_absolute_error: 3.7116 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6844 - mean_absolute_error: 3.6844 - val_loss: 3.6677 - val_mean_absolute_error: 3.6677 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6411 - mean_absolute_error: 3.6411 - val_loss: 3.6245 - val_mean_absolute_error: 3.6245 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5987 - mean_absolute_error: 3.5987 - val_loss: 3.5819 - val_mean_absolute_error: 3.5819 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5569 - mean_absolute_error: 3.5569 - val_loss: 3.5401 - val_mean_absolute_error: 3.5401 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5158 - mean_absolute_error: 3.5158 - val_loss: 3.4989 - val_mean_absolute_error: 3.4989 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4752 - mean_absolute_error: 3.4752 - val_loss: 3.4583 - val_mean_absolute_error: 3.4583 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4353 - mean_absolute_error: 3.4353 - val_loss: 3.4183 - val_mean_absolute_error: 3.4183 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3959 - mean_absolute_error: 3.3959 - val_loss: 3.3787 - val_mean_absolute_error: 3.3787 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3570 - mean_absolute_error: 3.3570 - val_loss: 3.3397 - val_mean_absolute_error: 3.3397 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3186 - mean_absolute_error: 3.3186 - val_loss: 3.3011 - val_mean_absolute_error: 3.3011 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2806 - mean_absolute_error: 3.2806 - val_loss: 3.2630 - val_mean_absolute_error: 3.2630 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2432 - mean_absolute_error: 3.2432 - val_loss: 3.2254 - val_mean_absolute_error: 3.2254 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2062 - mean_absolute_error: 3.2062 - val_loss: 3.1881 - val_mean_absolute_error: 3.1881 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1695 - mean_absolute_error: 3.1695 - val_loss: 3.1513 - val_mean_absolute_error: 3.1513 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1333 - mean_absolute_error: 3.1333 - val_loss: 3.1149 - val_mean_absolute_error: 3.1149 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0975 - mean_absolute_error: 3.0975 - val_loss: 3.0789 - val_mean_absolute_error: 3.0789 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0622 - mean_absolute_error: 3.0622 - val_loss: 3.0432 - val_mean_absolute_error: 3.0432 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0271 - mean_absolute_error: 3.0271 - val_loss: 3.0079 - val_mean_absolute_error: 3.0079 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9923 - mean_absolute_error: 2.9923 - val_loss: 2.9728 - val_mean_absolute_error: 2.9728 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9579 - mean_absolute_error: 2.9579 - val_loss: 2.9381 - val_mean_absolute_error: 2.9381 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9238 - mean_absolute_error: 2.9238 - val_loss: 2.9038 - val_mean_absolute_error: 2.9038 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8900 - mean_absolute_error: 2.8900 - val_loss: 2.8699 - val_mean_absolute_error: 2.8699 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8564 - mean_absolute_error: 2.8564 - val_loss: 2.8363 - val_mean_absolute_error: 2.8363 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8231 - mean_absolute_error: 2.8231 - val_loss: 2.8030 - val_mean_absolute_error: 2.8030 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7900 - mean_absolute_error: 2.7900 - val_loss: 2.7699 - val_mean_absolute_error: 2.7699 Epoch 1/50 35/35 [==============================] - 1s 16ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5383 - mean_absolute_error: 5.5383 - val_loss: 5.4883 - val_mean_absolute_error: 5.4883 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4211 - mean_absolute_error: 5.4211 - val_loss: 5.3690 - val_mean_absolute_error: 5.3690 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2983 - mean_absolute_error: 5.2983 - val_loss: 5.2429 - val_mean_absolute_error: 5.2429 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1677 - mean_absolute_error: 5.1677 - val_loss: 5.1075 - val_mean_absolute_error: 5.1075 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0256 - mean_absolute_error: 5.0256 - val_loss: 4.9581 - val_mean_absolute_error: 4.9581 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8667 - mean_absolute_error: 4.8667 - val_loss: 4.7877 - val_mean_absolute_error: 4.7877 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6824 - mean_absolute_error: 4.6824 - val_loss: 4.5866 - val_mean_absolute_error: 4.5866 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4613 - mean_absolute_error: 4.4613 - val_loss: 4.3423 - val_mean_absolute_error: 4.3423 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1877 - mean_absolute_error: 4.1877 - val_loss: 4.0342 - val_mean_absolute_error: 4.0342 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8352 - mean_absolute_error: 3.8352 - val_loss: 3.6260 - val_mean_absolute_error: 3.6260 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3526 - mean_absolute_error: 3.3526 - val_loss: 3.0531 - val_mean_absolute_error: 3.0531 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6617 - mean_absolute_error: 2.6617 - val_loss: 2.2461 - val_mean_absolute_error: 2.2461 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7780 - mean_absolute_error: 1.7780 - val_loss: 1.4813 - val_mean_absolute_error: 1.4813 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1489 - mean_absolute_error: 1.1489 - val_loss: 1.1177 - val_mean_absolute_error: 1.1177 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9393 - mean_absolute_error: 0.9393 - val_loss: 0.9850 - val_mean_absolute_error: 0.9850 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8620 - mean_absolute_error: 0.8620 - val_loss: 0.9160 - val_mean_absolute_error: 0.9160 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8130 - mean_absolute_error: 0.8130 - val_loss: 0.8663 - val_mean_absolute_error: 0.8663 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7765 - mean_absolute_error: 0.7765 - val_loss: 0.8294 - val_mean_absolute_error: 0.8294 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7471 - mean_absolute_error: 0.7471 - val_loss: 0.7984 - val_mean_absolute_error: 0.7984 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7209 - mean_absolute_error: 0.7209 - val_loss: 0.7676 - val_mean_absolute_error: 0.7676 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6986 - mean_absolute_error: 0.6986 - val_loss: 0.7445 - val_mean_absolute_error: 0.7445 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6804 - mean_absolute_error: 0.6804 - val_loss: 0.7268 - val_mean_absolute_error: 0.7268 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.7097 - val_mean_absolute_error: 0.7097 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6472 - mean_absolute_error: 0.6472 - val_loss: 0.6930 - val_mean_absolute_error: 0.6930 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6340 - mean_absolute_error: 0.6340 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6219 - mean_absolute_error: 0.6219 - val_loss: 0.6690 - val_mean_absolute_error: 0.6690 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6114 - mean_absolute_error: 0.6114 - val_loss: 0.6582 - val_mean_absolute_error: 0.6582 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6013 - mean_absolute_error: 0.6013 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5926 - mean_absolute_error: 0.5926 - val_loss: 0.6402 - val_mean_absolute_error: 0.6402 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5851 - mean_absolute_error: 0.5851 - val_loss: 0.6321 - val_mean_absolute_error: 0.6321 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5779 - mean_absolute_error: 0.5779 - val_loss: 0.6245 - val_mean_absolute_error: 0.6245 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5713 - mean_absolute_error: 0.5713 - val_loss: 0.6204 - val_mean_absolute_error: 0.6204 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5664 - mean_absolute_error: 0.5664 - val_loss: 0.6157 - val_mean_absolute_error: 0.6157 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5617 - mean_absolute_error: 0.5617 - val_loss: 0.6117 - val_mean_absolute_error: 0.6117 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5563 - mean_absolute_error: 0.5563 - val_loss: 0.6059 - val_mean_absolute_error: 0.6059 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5522 - mean_absolute_error: 0.5522 - val_loss: 0.6028 - val_mean_absolute_error: 0.6028 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5479 - mean_absolute_error: 0.5479 - val_loss: 0.5942 - val_mean_absolute_error: 0.5942 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5446 - mean_absolute_error: 0.5446 - val_loss: 0.5944 - val_mean_absolute_error: 0.5944 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5414 - mean_absolute_error: 0.5414 - val_loss: 0.5880 - val_mean_absolute_error: 0.5880 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5381 - mean_absolute_error: 0.5381 - val_loss: 0.5851 - val_mean_absolute_error: 0.5851 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5355 - mean_absolute_error: 0.5355 - val_loss: 0.5803 - val_mean_absolute_error: 0.5803 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5814 - val_mean_absolute_error: 0.5814 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5294 - mean_absolute_error: 0.5294 - val_loss: 0.5736 - val_mean_absolute_error: 0.5736 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5274 - mean_absolute_error: 0.5274 - val_loss: 0.5732 - val_mean_absolute_error: 0.5732 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5252 - mean_absolute_error: 0.5252 - val_loss: 0.5692 - val_mean_absolute_error: 0.5692 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5721 - val_mean_absolute_error: 0.5721 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5648 - val_mean_absolute_error: 0.5648 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5636 - val_mean_absolute_error: 0.5636 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5616 - val_mean_absolute_error: 0.5616 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5583 - val_mean_absolute_error: 0.5583 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5919 - mean_absolute_error: 5.5919 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5288 - mean_absolute_error: 5.5288 - val_loss: 5.5004 - val_mean_absolute_error: 5.5004 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4632 - mean_absolute_error: 5.4632 - val_loss: 5.4327 - val_mean_absolute_error: 5.4327 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3933 - mean_absolute_error: 5.3933 - val_loss: 5.3602 - val_mean_absolute_error: 5.3602 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3179 - mean_absolute_error: 5.3179 - val_loss: 5.2821 - val_mean_absolute_error: 5.2821 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2366 - mean_absolute_error: 5.2366 - val_loss: 5.1980 - val_mean_absolute_error: 5.1980 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1490 - mean_absolute_error: 5.1490 - val_loss: 5.1068 - val_mean_absolute_error: 5.1068 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0512 - mean_absolute_error: 5.0512 - val_loss: 5.0034 - val_mean_absolute_error: 5.0034 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9367 - mean_absolute_error: 4.9367 - val_loss: 4.8781 - val_mean_absolute_error: 4.8781 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7922 - mean_absolute_error: 4.7922 - val_loss: 4.7136 - val_mean_absolute_error: 4.7136 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5969 - mean_absolute_error: 4.5969 - val_loss: 4.4895 - val_mean_absolute_error: 4.4895 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3252 - mean_absolute_error: 4.3252 - val_loss: 4.1702 - val_mean_absolute_error: 4.1702 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9505 - mean_absolute_error: 3.9505 - val_loss: 3.7377 - val_mean_absolute_error: 3.7377 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4492 - mean_absolute_error: 3.4492 - val_loss: 3.1454 - val_mean_absolute_error: 3.1454 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7347 - mean_absolute_error: 2.7347 - val_loss: 2.2947 - val_mean_absolute_error: 2.2947 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7432 - mean_absolute_error: 1.7432 - val_loss: 1.3780 - val_mean_absolute_error: 1.3780 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0623 - mean_absolute_error: 1.0623 - val_loss: 1.1062 - val_mean_absolute_error: 1.1062 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9256 - mean_absolute_error: 0.9256 - val_loss: 1.0244 - val_mean_absolute_error: 1.0244 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8735 - mean_absolute_error: 0.8735 - val_loss: 0.9684 - val_mean_absolute_error: 0.9684 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8350 - mean_absolute_error: 0.8350 - val_loss: 0.9218 - val_mean_absolute_error: 0.9218 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8029 - mean_absolute_error: 0.8029 - val_loss: 0.8848 - val_mean_absolute_error: 0.8848 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7771 - mean_absolute_error: 0.7771 - val_loss: 0.8523 - val_mean_absolute_error: 0.8523 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7542 - mean_absolute_error: 0.7542 - val_loss: 0.8238 - val_mean_absolute_error: 0.8238 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7337 - mean_absolute_error: 0.7337 - val_loss: 0.8017 - val_mean_absolute_error: 0.8017 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7159 - mean_absolute_error: 0.7159 - val_loss: 0.7824 - val_mean_absolute_error: 0.7824 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6997 - mean_absolute_error: 0.6997 - val_loss: 0.7672 - val_mean_absolute_error: 0.7672 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.7512 - val_mean_absolute_error: 0.7512 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6734 - mean_absolute_error: 0.6734 - val_loss: 0.7380 - val_mean_absolute_error: 0.7380 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.7238 - val_mean_absolute_error: 0.7238 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6501 - mean_absolute_error: 0.6501 - val_loss: 0.7121 - val_mean_absolute_error: 0.7121 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6392 - mean_absolute_error: 0.6392 - val_loss: 0.7012 - val_mean_absolute_error: 0.7012 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6295 - mean_absolute_error: 0.6295 - val_loss: 0.6904 - val_mean_absolute_error: 0.6904 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6209 - mean_absolute_error: 0.6209 - val_loss: 0.6824 - val_mean_absolute_error: 0.6824 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6125 - mean_absolute_error: 0.6125 - val_loss: 0.6727 - val_mean_absolute_error: 0.6727 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6039 - mean_absolute_error: 0.6039 - val_loss: 0.6644 - val_mean_absolute_error: 0.6644 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5964 - mean_absolute_error: 0.5964 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5906 - mean_absolute_error: 0.5906 - val_loss: 0.6494 - val_mean_absolute_error: 0.6494 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5845 - mean_absolute_error: 0.5845 - val_loss: 0.6425 - val_mean_absolute_error: 0.6425 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5788 - mean_absolute_error: 0.5788 - val_loss: 0.6356 - val_mean_absolute_error: 0.6356 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5735 - mean_absolute_error: 0.5735 - val_loss: 0.6299 - val_mean_absolute_error: 0.6299 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5679 - mean_absolute_error: 0.5679 - val_loss: 0.6239 - val_mean_absolute_error: 0.6239 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5640 - mean_absolute_error: 0.5640 - val_loss: 0.6198 - val_mean_absolute_error: 0.6198 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5597 - mean_absolute_error: 0.5597 - val_loss: 0.6158 - val_mean_absolute_error: 0.6158 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5558 - mean_absolute_error: 0.5558 - val_loss: 0.6123 - val_mean_absolute_error: 0.6123 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5521 - mean_absolute_error: 0.5521 - val_loss: 0.6076 - val_mean_absolute_error: 0.6076 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5489 - mean_absolute_error: 0.5489 - val_loss: 0.6037 - val_mean_absolute_error: 0.6037 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5461 - mean_absolute_error: 0.5461 - val_loss: 0.5986 - val_mean_absolute_error: 0.5986 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5431 - mean_absolute_error: 0.5431 - val_loss: 0.5959 - val_mean_absolute_error: 0.5959 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5401 - mean_absolute_error: 0.5401 - val_loss: 0.5957 - val_mean_absolute_error: 0.5957 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5382 - mean_absolute_error: 0.5382 - val_loss: 0.5902 - val_mean_absolute_error: 0.5902 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5994 - mean_absolute_error: 5.5994 - val_loss: 5.6020 - val_mean_absolute_error: 5.6020 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5755 - mean_absolute_error: 5.5755 - val_loss: 5.5782 - val_mean_absolute_error: 5.5782 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5488 - mean_absolute_error: 5.5488 - val_loss: 5.5517 - val_mean_absolute_error: 5.5517 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5207 - mean_absolute_error: 5.5207 - val_loss: 5.5237 - val_mean_absolute_error: 5.5237 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4916 - mean_absolute_error: 5.4916 - val_loss: 5.4953 - val_mean_absolute_error: 5.4953 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4621 - mean_absolute_error: 5.4621 - val_loss: 5.4671 - val_mean_absolute_error: 5.4671 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4322 - mean_absolute_error: 5.4322 - val_loss: 5.4380 - val_mean_absolute_error: 5.4380 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4016 - mean_absolute_error: 5.4016 - val_loss: 5.4081 - val_mean_absolute_error: 5.4081 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3696 - mean_absolute_error: 5.3696 - val_loss: 5.3763 - val_mean_absolute_error: 5.3763 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3361 - mean_absolute_error: 5.3361 - val_loss: 5.3436 - val_mean_absolute_error: 5.3436 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3016 - mean_absolute_error: 5.3016 - val_loss: 5.3103 - val_mean_absolute_error: 5.3103 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2670 - mean_absolute_error: 5.2670 - val_loss: 5.2773 - val_mean_absolute_error: 5.2773 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2329 - mean_absolute_error: 5.2329 - val_loss: 5.2446 - val_mean_absolute_error: 5.2446 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1992 - mean_absolute_error: 5.1992 - val_loss: 5.2127 - val_mean_absolute_error: 5.2127 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1665 - mean_absolute_error: 5.1665 - val_loss: 5.1817 - val_mean_absolute_error: 5.1817 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1347 - mean_absolute_error: 5.1347 - val_loss: 5.1515 - val_mean_absolute_error: 5.1515 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1035 - mean_absolute_error: 5.1035 - val_loss: 5.1222 - val_mean_absolute_error: 5.1222 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0730 - mean_absolute_error: 5.0730 - val_loss: 5.0938 - val_mean_absolute_error: 5.0938 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0435 - mean_absolute_error: 5.0435 - val_loss: 5.0661 - val_mean_absolute_error: 5.0661 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0149 - mean_absolute_error: 5.0149 - val_loss: 5.0390 - val_mean_absolute_error: 5.0390 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9870 - mean_absolute_error: 4.9870 - val_loss: 5.0127 - val_mean_absolute_error: 5.0127 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9599 - mean_absolute_error: 4.9599 - val_loss: 4.9870 - val_mean_absolute_error: 4.9870 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9335 - mean_absolute_error: 4.9335 - val_loss: 4.9620 - val_mean_absolute_error: 4.9620 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9077 - mean_absolute_error: 4.9077 - val_loss: 4.9375 - val_mean_absolute_error: 4.9375 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8822 - mean_absolute_error: 4.8822 - val_loss: 4.9134 - val_mean_absolute_error: 4.9134 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8571 - mean_absolute_error: 4.8571 - val_loss: 4.8895 - val_mean_absolute_error: 4.8895 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8326 - mean_absolute_error: 4.8326 - val_loss: 4.8662 - val_mean_absolute_error: 4.8662 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8087 - mean_absolute_error: 4.8087 - val_loss: 4.8433 - val_mean_absolute_error: 4.8433 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7854 - mean_absolute_error: 4.7854 - val_loss: 4.8207 - val_mean_absolute_error: 4.8207 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7624 - mean_absolute_error: 4.7624 - val_loss: 4.7985 - val_mean_absolute_error: 4.7985 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7397 - mean_absolute_error: 4.7397 - val_loss: 4.7766 - val_mean_absolute_error: 4.7766 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7174 - mean_absolute_error: 4.7174 - val_loss: 4.7551 - val_mean_absolute_error: 4.7551 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6955 - mean_absolute_error: 4.6955 - val_loss: 4.7338 - val_mean_absolute_error: 4.7338 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6738 - mean_absolute_error: 4.6738 - val_loss: 4.7128 - val_mean_absolute_error: 4.7128 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6524 - mean_absolute_error: 4.6524 - val_loss: 4.6922 - val_mean_absolute_error: 4.6922 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6314 - mean_absolute_error: 4.6314 - val_loss: 4.6719 - val_mean_absolute_error: 4.6719 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6107 - mean_absolute_error: 4.6107 - val_loss: 4.6518 - val_mean_absolute_error: 4.6518 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5902 - mean_absolute_error: 4.5902 - val_loss: 4.6320 - val_mean_absolute_error: 4.6320 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5700 - mean_absolute_error: 4.5700 - val_loss: 4.6124 - val_mean_absolute_error: 4.6124 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5499 - mean_absolute_error: 4.5499 - val_loss: 4.5929 - val_mean_absolute_error: 4.5929 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5299 - mean_absolute_error: 4.5299 - val_loss: 4.5736 - val_mean_absolute_error: 4.5736 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5102 - mean_absolute_error: 4.5102 - val_loss: 4.5545 - val_mean_absolute_error: 4.5545 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4906 - mean_absolute_error: 4.4906 - val_loss: 4.5356 - val_mean_absolute_error: 4.5356 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4713 - mean_absolute_error: 4.4713 - val_loss: 4.5168 - val_mean_absolute_error: 4.5168 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4521 - mean_absolute_error: 4.4521 - val_loss: 4.4982 - val_mean_absolute_error: 4.4982 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4330 - mean_absolute_error: 4.4330 - val_loss: 4.4797 - val_mean_absolute_error: 4.4797 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4140 - mean_absolute_error: 4.4140 - val_loss: 4.4612 - val_mean_absolute_error: 4.4612 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3952 - mean_absolute_error: 4.3952 - val_loss: 4.4429 - val_mean_absolute_error: 4.4429 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3765 - mean_absolute_error: 4.3765 - val_loss: 4.4248 - val_mean_absolute_error: 4.4248 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3580 - mean_absolute_error: 4.3580 - val_loss: 4.4068 - val_mean_absolute_error: 4.4068 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6287 - mean_absolute_error: 5.6287 - val_loss: 5.6350 - val_mean_absolute_error: 5.6350 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6267 - mean_absolute_error: 5.6267 - val_loss: 5.6340 - val_mean_absolute_error: 5.6340 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6259 - mean_absolute_error: 5.6259 - val_loss: 5.6334 - val_mean_absolute_error: 5.6334 Epoch 4/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6254 - mean_absolute_error: 5.6254 - val_loss: 5.6329 - val_mean_absolute_error: 5.6329 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6250 - mean_absolute_error: 5.6250 - val_loss: 5.6326 - val_mean_absolute_error: 5.6326 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6247 - mean_absolute_error: 5.6247 - val_loss: 5.6323 - val_mean_absolute_error: 5.6323 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6245 - mean_absolute_error: 5.6245 - val_loss: 5.6321 - val_mean_absolute_error: 5.6321 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6242 - mean_absolute_error: 5.6242 - val_loss: 5.6319 - val_mean_absolute_error: 5.6319 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6241 - mean_absolute_error: 5.6241 - val_loss: 5.6317 - val_mean_absolute_error: 5.6317 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6239 - mean_absolute_error: 5.6239 - val_loss: 5.6316 - val_mean_absolute_error: 5.6316 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6237 - mean_absolute_error: 5.6237 - val_loss: 5.6314 - val_mean_absolute_error: 5.6314 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6236 - mean_absolute_error: 5.6236 - val_loss: 5.6313 - val_mean_absolute_error: 5.6313 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6235 - mean_absolute_error: 5.6235 - val_loss: 5.6312 - val_mean_absolute_error: 5.6312 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6234 - mean_absolute_error: 5.6234 - val_loss: 5.6311 - val_mean_absolute_error: 5.6311 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6233 - mean_absolute_error: 5.6233 - val_loss: 5.6310 - val_mean_absolute_error: 5.6310 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6232 - mean_absolute_error: 5.6232 - val_loss: 5.6309 - val_mean_absolute_error: 5.6309 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6231 - mean_absolute_error: 5.6231 - val_loss: 5.6308 - val_mean_absolute_error: 5.6308 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6230 - mean_absolute_error: 5.6230 - val_loss: 5.6307 - val_mean_absolute_error: 5.6307 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6229 - mean_absolute_error: 5.6229 - val_loss: 5.6306 - val_mean_absolute_error: 5.6306 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6228 - mean_absolute_error: 5.6228 - val_loss: 5.6305 - val_mean_absolute_error: 5.6305 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6227 - mean_absolute_error: 5.6227 - val_loss: 5.6305 - val_mean_absolute_error: 5.6305 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6227 - mean_absolute_error: 5.6227 - val_loss: 5.6304 - val_mean_absolute_error: 5.6304 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6226 - mean_absolute_error: 5.6226 - val_loss: 5.6303 - val_mean_absolute_error: 5.6303 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6225 - mean_absolute_error: 5.6225 - val_loss: 5.6303 - val_mean_absolute_error: 5.6303 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6225 - mean_absolute_error: 5.6225 - val_loss: 5.6302 - val_mean_absolute_error: 5.6302 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6224 - mean_absolute_error: 5.6224 - val_loss: 5.6302 - val_mean_absolute_error: 5.6302 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6223 - mean_absolute_error: 5.6223 - val_loss: 5.6301 - val_mean_absolute_error: 5.6301 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6223 - mean_absolute_error: 5.6223 - val_loss: 5.6300 - val_mean_absolute_error: 5.6300 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6222 - mean_absolute_error: 5.6222 - val_loss: 5.6300 - val_mean_absolute_error: 5.6300 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6222 - mean_absolute_error: 5.6222 - val_loss: 5.6299 - val_mean_absolute_error: 5.6299 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6221 - mean_absolute_error: 5.6221 - val_loss: 5.6299 - val_mean_absolute_error: 5.6299 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6221 - mean_absolute_error: 5.6221 - val_loss: 5.6298 - val_mean_absolute_error: 5.6298 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6220 - mean_absolute_error: 5.6220 - val_loss: 5.6298 - val_mean_absolute_error: 5.6298 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6220 - mean_absolute_error: 5.6220 - val_loss: 5.6297 - val_mean_absolute_error: 5.6297 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6219 - mean_absolute_error: 5.6219 - val_loss: 5.6297 - val_mean_absolute_error: 5.6297 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6219 - mean_absolute_error: 5.6219 - val_loss: 5.6297 - val_mean_absolute_error: 5.6297 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6219 - mean_absolute_error: 5.6219 - val_loss: 5.6296 - val_mean_absolute_error: 5.6296 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6218 - mean_absolute_error: 5.6218 - val_loss: 5.6296 - val_mean_absolute_error: 5.6296 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6218 - mean_absolute_error: 5.6218 - val_loss: 5.6295 - val_mean_absolute_error: 5.6295 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6217 - mean_absolute_error: 5.6217 - val_loss: 5.6295 - val_mean_absolute_error: 5.6295 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6217 - mean_absolute_error: 5.6217 - val_loss: 5.6295 - val_mean_absolute_error: 5.6295 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6217 - mean_absolute_error: 5.6217 - val_loss: 5.6294 - val_mean_absolute_error: 5.6294 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6216 - mean_absolute_error: 5.6216 - val_loss: 5.6294 - val_mean_absolute_error: 5.6294 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6216 - mean_absolute_error: 5.6216 - val_loss: 5.6294 - val_mean_absolute_error: 5.6294 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6216 - mean_absolute_error: 5.6216 - val_loss: 5.6293 - val_mean_absolute_error: 5.6293 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6215 - mean_absolute_error: 5.6215 - val_loss: 5.6293 - val_mean_absolute_error: 5.6293 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6215 - mean_absolute_error: 5.6215 - val_loss: 5.6293 - val_mean_absolute_error: 5.6293 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6215 - mean_absolute_error: 5.6215 - val_loss: 5.6292 - val_mean_absolute_error: 5.6292 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6214 - mean_absolute_error: 5.6214 - val_loss: 5.6292 - val_mean_absolute_error: 5.6292 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6214 - mean_absolute_error: 5.6214 - val_loss: 5.6292 - val_mean_absolute_error: 5.6292 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.2098 - mean_absolute_error: 4.2098 - val_loss: 2.3407 - val_mean_absolute_error: 2.3407 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4120 - mean_absolute_error: 1.4120 - val_loss: 1.0323 - val_mean_absolute_error: 1.0323 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8087 - mean_absolute_error: 0.8087 - val_loss: 0.7474 - val_mean_absolute_error: 0.7474 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6318 - mean_absolute_error: 0.6318 - val_loss: 0.6308 - val_mean_absolute_error: 0.6308 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5701 - mean_absolute_error: 0.5701 - val_loss: 0.5832 - val_mean_absolute_error: 0.5832 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5476 - mean_absolute_error: 0.5476 - val_loss: 0.5505 - val_mean_absolute_error: 0.5505 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5315 - mean_absolute_error: 0.5315 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5398 - val_mean_absolute_error: 0.5398 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5133 - mean_absolute_error: 0.5133 - val_loss: 0.5327 - val_mean_absolute_error: 0.5327 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5119 - mean_absolute_error: 0.5119 - val_loss: 0.5361 - val_mean_absolute_error: 0.5361 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5124 - mean_absolute_error: 0.5124 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5106 - mean_absolute_error: 0.5106 - val_loss: 0.5173 - val_mean_absolute_error: 0.5173 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5238 - val_mean_absolute_error: 0.5238 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5048 - mean_absolute_error: 0.5048 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4947 - mean_absolute_error: 0.4947 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4912 - mean_absolute_error: 0.4912 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5243 - val_mean_absolute_error: 0.5243 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4920 - mean_absolute_error: 0.4920 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 48/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 2.7118 - mean_absolute_error: 2.7118 - val_loss: 1.0146 - val_mean_absolute_error: 1.0146 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8342 - mean_absolute_error: 0.8342 - val_loss: 0.7282 - val_mean_absolute_error: 0.7282 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6509 - mean_absolute_error: 0.6509 - val_loss: 0.6639 - val_mean_absolute_error: 0.6639 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5728 - mean_absolute_error: 0.5728 - val_loss: 0.5944 - val_mean_absolute_error: 0.5944 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5542 - mean_absolute_error: 0.5542 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5364 - mean_absolute_error: 0.5364 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5278 - mean_absolute_error: 0.5278 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5391 - mean_absolute_error: 0.5391 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5193 - mean_absolute_error: 0.5193 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5598 - val_mean_absolute_error: 0.5598 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5235 - val_mean_absolute_error: 0.5235 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5204 - mean_absolute_error: 0.5204 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4866 - mean_absolute_error: 0.4866 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.4831 - val_mean_absolute_error: 0.4831 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.4866 - val_mean_absolute_error: 0.4866 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4893 - mean_absolute_error: 5.4893 - val_loss: 5.4572 - val_mean_absolute_error: 5.4572 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4341 - mean_absolute_error: 5.4341 - val_loss: 5.4327 - val_mean_absolute_error: 5.4327 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4157 - mean_absolute_error: 5.4157 - val_loss: 5.4189 - val_mean_absolute_error: 5.4189 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4041 - mean_absolute_error: 5.4041 - val_loss: 5.4091 - val_mean_absolute_error: 5.4091 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3955 - mean_absolute_error: 5.3955 - val_loss: 5.4016 - val_mean_absolute_error: 5.4016 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3886 - mean_absolute_error: 5.3886 - val_loss: 5.3954 - val_mean_absolute_error: 5.3954 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3829 - mean_absolute_error: 5.3829 - val_loss: 5.3902 - val_mean_absolute_error: 5.3902 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3781 - mean_absolute_error: 5.3781 - val_loss: 5.3857 - val_mean_absolute_error: 5.3857 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3738 - mean_absolute_error: 5.3738 - val_loss: 5.3817 - val_mean_absolute_error: 5.3817 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3700 - mean_absolute_error: 5.3700 - val_loss: 5.3782 - val_mean_absolute_error: 5.3782 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3666 - mean_absolute_error: 5.3666 - val_loss: 5.3750 - val_mean_absolute_error: 5.3750 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3635 - mean_absolute_error: 5.3635 - val_loss: 5.3720 - val_mean_absolute_error: 5.3720 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3607 - mean_absolute_error: 5.3607 - val_loss: 5.3693 - val_mean_absolute_error: 5.3693 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3580 - mean_absolute_error: 5.3580 - val_loss: 5.3668 - val_mean_absolute_error: 5.3668 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3556 - mean_absolute_error: 5.3556 - val_loss: 5.3645 - val_mean_absolute_error: 5.3645 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3533 - mean_absolute_error: 5.3533 - val_loss: 5.3623 - val_mean_absolute_error: 5.3623 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3512 - mean_absolute_error: 5.3512 - val_loss: 5.3602 - val_mean_absolute_error: 5.3602 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3492 - mean_absolute_error: 5.3492 - val_loss: 5.3583 - val_mean_absolute_error: 5.3583 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3473 - mean_absolute_error: 5.3473 - val_loss: 5.3564 - val_mean_absolute_error: 5.3564 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3455 - mean_absolute_error: 5.3455 - val_loss: 5.3547 - val_mean_absolute_error: 5.3547 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3438 - mean_absolute_error: 5.3438 - val_loss: 5.3530 - val_mean_absolute_error: 5.3530 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3421 - mean_absolute_error: 5.3421 - val_loss: 5.3515 - val_mean_absolute_error: 5.3515 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3406 - mean_absolute_error: 5.3406 - val_loss: 5.3499 - val_mean_absolute_error: 5.3499 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3391 - mean_absolute_error: 5.3391 - val_loss: 5.3485 - val_mean_absolute_error: 5.3485 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3377 - mean_absolute_error: 5.3377 - val_loss: 5.3471 - val_mean_absolute_error: 5.3471 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3363 - mean_absolute_error: 5.3363 - val_loss: 5.3458 - val_mean_absolute_error: 5.3458 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3350 - mean_absolute_error: 5.3350 - val_loss: 5.3445 - val_mean_absolute_error: 5.3445 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3337 - mean_absolute_error: 5.3337 - val_loss: 5.3432 - val_mean_absolute_error: 5.3432 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3325 - mean_absolute_error: 5.3325 - val_loss: 5.3420 - val_mean_absolute_error: 5.3420 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3313 - mean_absolute_error: 5.3313 - val_loss: 5.3409 - val_mean_absolute_error: 5.3409 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3301 - mean_absolute_error: 5.3301 - val_loss: 5.3397 - val_mean_absolute_error: 5.3397 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3290 - mean_absolute_error: 5.3290 - val_loss: 5.3387 - val_mean_absolute_error: 5.3387 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3279 - mean_absolute_error: 5.3279 - val_loss: 5.3376 - val_mean_absolute_error: 5.3376 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3269 - mean_absolute_error: 5.3269 - val_loss: 5.3366 - val_mean_absolute_error: 5.3366 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3259 - mean_absolute_error: 5.3259 - val_loss: 5.3356 - val_mean_absolute_error: 5.3356 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3249 - mean_absolute_error: 5.3249 - val_loss: 5.3346 - val_mean_absolute_error: 5.3346 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3239 - mean_absolute_error: 5.3239 - val_loss: 5.3337 - val_mean_absolute_error: 5.3337 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3230 - mean_absolute_error: 5.3230 - val_loss: 5.3328 - val_mean_absolute_error: 5.3328 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3221 - mean_absolute_error: 5.3221 - val_loss: 5.3319 - val_mean_absolute_error: 5.3319 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3212 - mean_absolute_error: 5.3212 - val_loss: 5.3310 - val_mean_absolute_error: 5.3310 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3204 - mean_absolute_error: 5.3204 - val_loss: 5.3301 - val_mean_absolute_error: 5.3301 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3195 - mean_absolute_error: 5.3195 - val_loss: 5.3293 - val_mean_absolute_error: 5.3293 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3187 - mean_absolute_error: 5.3187 - val_loss: 5.3285 - val_mean_absolute_error: 5.3285 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3179 - mean_absolute_error: 5.3179 - val_loss: 5.3277 - val_mean_absolute_error: 5.3277 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3171 - mean_absolute_error: 5.3171 - val_loss: 5.3269 - val_mean_absolute_error: 5.3269 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3163 - mean_absolute_error: 5.3163 - val_loss: 5.3262 - val_mean_absolute_error: 5.3262 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3156 - mean_absolute_error: 5.3156 - val_loss: 5.3254 - val_mean_absolute_error: 5.3254 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3148 - mean_absolute_error: 5.3148 - val_loss: 5.3247 - val_mean_absolute_error: 5.3247 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3141 - mean_absolute_error: 5.3141 - val_loss: 5.3240 - val_mean_absolute_error: 5.3240 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3134 - mean_absolute_error: 5.3134 - val_loss: 5.3233 - val_mean_absolute_error: 5.3233 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.9107 - mean_absolute_error: 4.9107 - val_loss: 3.8541 - val_mean_absolute_error: 3.8541 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0595 - mean_absolute_error: 2.0595 - val_loss: 1.1295 - val_mean_absolute_error: 1.1295 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8519 - mean_absolute_error: 0.8519 - val_loss: 0.7854 - val_mean_absolute_error: 0.7854 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6558 - mean_absolute_error: 0.6558 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5858 - mean_absolute_error: 0.5858 - val_loss: 0.6145 - val_mean_absolute_error: 0.6145 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5604 - mean_absolute_error: 0.5604 - val_loss: 0.5927 - val_mean_absolute_error: 0.5927 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5454 - mean_absolute_error: 0.5454 - val_loss: 0.5809 - val_mean_absolute_error: 0.5809 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5337 - mean_absolute_error: 0.5337 - val_loss: 0.5654 - val_mean_absolute_error: 0.5654 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5276 - mean_absolute_error: 0.5276 - val_loss: 0.5573 - val_mean_absolute_error: 0.5573 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5599 - val_mean_absolute_error: 0.5599 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5462 - val_mean_absolute_error: 0.5462 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5130 - mean_absolute_error: 0.5130 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5101 - mean_absolute_error: 0.5101 - val_loss: 0.5379 - val_mean_absolute_error: 0.5379 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5245 - val_mean_absolute_error: 0.5245 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5232 - val_mean_absolute_error: 0.5232 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4939 - mean_absolute_error: 0.4939 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4949 - mean_absolute_error: 0.4949 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5265 - val_mean_absolute_error: 0.5265 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4951 - mean_absolute_error: 0.4951 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5331 - val_mean_absolute_error: 0.5331 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5379 - val_mean_absolute_error: 0.5379 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.5199 - val_mean_absolute_error: 0.5199 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5442 - val_mean_absolute_error: 0.5442 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4864 - mean_absolute_error: 0.4864 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4303 - mean_absolute_error: 5.4303 - val_loss: 5.1608 - val_mean_absolute_error: 5.1608 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5326 - mean_absolute_error: 4.5326 - val_loss: 3.2743 - val_mean_absolute_error: 3.2743 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8413 - mean_absolute_error: 1.8413 - val_loss: 1.2839 - val_mean_absolute_error: 1.2839 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0333 - mean_absolute_error: 1.0333 - val_loss: 1.0347 - val_mean_absolute_error: 1.0347 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8606 - mean_absolute_error: 0.8606 - val_loss: 0.9249 - val_mean_absolute_error: 0.9249 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7865 - mean_absolute_error: 0.7865 - val_loss: 0.8661 - val_mean_absolute_error: 0.8661 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7370 - mean_absolute_error: 0.7370 - val_loss: 0.8191 - val_mean_absolute_error: 0.8191 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7012 - mean_absolute_error: 0.7012 - val_loss: 0.7891 - val_mean_absolute_error: 0.7891 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.7509 - val_mean_absolute_error: 0.7509 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6558 - mean_absolute_error: 0.6558 - val_loss: 0.7286 - val_mean_absolute_error: 0.7286 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6398 - mean_absolute_error: 0.6398 - val_loss: 0.7137 - val_mean_absolute_error: 0.7137 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6258 - mean_absolute_error: 0.6258 - val_loss: 0.6976 - val_mean_absolute_error: 0.6976 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6158 - mean_absolute_error: 0.6158 - val_loss: 0.6823 - val_mean_absolute_error: 0.6823 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6077 - mean_absolute_error: 0.6077 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5997 - mean_absolute_error: 0.5997 - val_loss: 0.6633 - val_mean_absolute_error: 0.6633 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5935 - mean_absolute_error: 0.5935 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5878 - mean_absolute_error: 0.5878 - val_loss: 0.6489 - val_mean_absolute_error: 0.6489 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5826 - mean_absolute_error: 0.5826 - val_loss: 0.6444 - val_mean_absolute_error: 0.6444 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5781 - mean_absolute_error: 0.5781 - val_loss: 0.6373 - val_mean_absolute_error: 0.6373 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5733 - mean_absolute_error: 0.5733 - val_loss: 0.6326 - val_mean_absolute_error: 0.6326 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5705 - mean_absolute_error: 0.5705 - val_loss: 0.6286 - val_mean_absolute_error: 0.6286 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5663 - mean_absolute_error: 0.5663 - val_loss: 0.6239 - val_mean_absolute_error: 0.6239 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5639 - mean_absolute_error: 0.5639 - val_loss: 0.6209 - val_mean_absolute_error: 0.6209 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5623 - mean_absolute_error: 0.5623 - val_loss: 0.6158 - val_mean_absolute_error: 0.6158 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5580 - mean_absolute_error: 0.5580 - val_loss: 0.6120 - val_mean_absolute_error: 0.6120 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5560 - mean_absolute_error: 0.5560 - val_loss: 0.6088 - val_mean_absolute_error: 0.6088 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5543 - mean_absolute_error: 0.5543 - val_loss: 0.6065 - val_mean_absolute_error: 0.6065 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5519 - mean_absolute_error: 0.5519 - val_loss: 0.6039 - val_mean_absolute_error: 0.6039 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5501 - mean_absolute_error: 0.5501 - val_loss: 0.6016 - val_mean_absolute_error: 0.6016 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5483 - mean_absolute_error: 0.5483 - val_loss: 0.6007 - val_mean_absolute_error: 0.6007 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5462 - mean_absolute_error: 0.5462 - val_loss: 0.5990 - val_mean_absolute_error: 0.5990 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5451 - mean_absolute_error: 0.5451 - val_loss: 0.5967 - val_mean_absolute_error: 0.5967 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5437 - mean_absolute_error: 0.5437 - val_loss: 0.5965 - val_mean_absolute_error: 0.5965 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5949 - val_mean_absolute_error: 0.5949 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5415 - mean_absolute_error: 0.5415 - val_loss: 0.5931 - val_mean_absolute_error: 0.5931 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5920 - val_mean_absolute_error: 0.5920 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5913 - val_mean_absolute_error: 0.5913 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5379 - mean_absolute_error: 0.5379 - val_loss: 0.5903 - val_mean_absolute_error: 0.5903 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5369 - mean_absolute_error: 0.5369 - val_loss: 0.5891 - val_mean_absolute_error: 0.5891 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5356 - mean_absolute_error: 0.5356 - val_loss: 0.5877 - val_mean_absolute_error: 0.5877 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5345 - mean_absolute_error: 0.5345 - val_loss: 0.5873 - val_mean_absolute_error: 0.5873 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5334 - mean_absolute_error: 0.5334 - val_loss: 0.5860 - val_mean_absolute_error: 0.5860 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5851 - val_mean_absolute_error: 0.5851 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5315 - mean_absolute_error: 0.5315 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5310 - mean_absolute_error: 0.5310 - val_loss: 0.5831 - val_mean_absolute_error: 0.5831 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5301 - mean_absolute_error: 0.5301 - val_loss: 0.5823 - val_mean_absolute_error: 0.5823 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5294 - mean_absolute_error: 0.5294 - val_loss: 0.5814 - val_mean_absolute_error: 0.5814 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5286 - mean_absolute_error: 0.5286 - val_loss: 0.5812 - val_mean_absolute_error: 0.5812 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5282 - mean_absolute_error: 0.5282 - val_loss: 0.5799 - val_mean_absolute_error: 0.5799 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6008 - mean_absolute_error: 5.6008 - val_loss: 5.5931 - val_mean_absolute_error: 5.5931 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5804 - mean_absolute_error: 5.5804 - val_loss: 5.5831 - val_mean_absolute_error: 5.5831 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5728 - mean_absolute_error: 5.5728 - val_loss: 5.5773 - val_mean_absolute_error: 5.5773 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5678 - mean_absolute_error: 5.5678 - val_loss: 5.5732 - val_mean_absolute_error: 5.5732 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5642 - mean_absolute_error: 5.5642 - val_loss: 5.5700 - val_mean_absolute_error: 5.5700 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5612 - mean_absolute_error: 5.5612 - val_loss: 5.5674 - val_mean_absolute_error: 5.5674 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5588 - mean_absolute_error: 5.5588 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5567 - mean_absolute_error: 5.5567 - val_loss: 5.5633 - val_mean_absolute_error: 5.5633 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5549 - mean_absolute_error: 5.5549 - val_loss: 5.5616 - val_mean_absolute_error: 5.5616 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5533 - mean_absolute_error: 5.5533 - val_loss: 5.5601 - val_mean_absolute_error: 5.5601 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5518 - mean_absolute_error: 5.5518 - val_loss: 5.5587 - val_mean_absolute_error: 5.5587 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5505 - mean_absolute_error: 5.5505 - val_loss: 5.5574 - val_mean_absolute_error: 5.5574 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5493 - mean_absolute_error: 5.5493 - val_loss: 5.5563 - val_mean_absolute_error: 5.5563 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5481 - mean_absolute_error: 5.5481 - val_loss: 5.5552 - val_mean_absolute_error: 5.5552 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5471 - mean_absolute_error: 5.5471 - val_loss: 5.5542 - val_mean_absolute_error: 5.5542 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5461 - mean_absolute_error: 5.5461 - val_loss: 5.5532 - val_mean_absolute_error: 5.5532 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5452 - mean_absolute_error: 5.5452 - val_loss: 5.5524 - val_mean_absolute_error: 5.5524 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5443 - mean_absolute_error: 5.5443 - val_loss: 5.5515 - val_mean_absolute_error: 5.5515 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5435 - mean_absolute_error: 5.5435 - val_loss: 5.5507 - val_mean_absolute_error: 5.5507 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5427 - mean_absolute_error: 5.5427 - val_loss: 5.5500 - val_mean_absolute_error: 5.5500 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5420 - mean_absolute_error: 5.5420 - val_loss: 5.5493 - val_mean_absolute_error: 5.5493 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5413 - mean_absolute_error: 5.5413 - val_loss: 5.5486 - val_mean_absolute_error: 5.5486 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5406 - mean_absolute_error: 5.5406 - val_loss: 5.5479 - val_mean_absolute_error: 5.5479 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5400 - mean_absolute_error: 5.5400 - val_loss: 5.5473 - val_mean_absolute_error: 5.5473 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5394 - mean_absolute_error: 5.5394 - val_loss: 5.5467 - val_mean_absolute_error: 5.5467 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5388 - mean_absolute_error: 5.5388 - val_loss: 5.5461 - val_mean_absolute_error: 5.5461 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5382 - mean_absolute_error: 5.5382 - val_loss: 5.5456 - val_mean_absolute_error: 5.5456 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5377 - mean_absolute_error: 5.5377 - val_loss: 5.5451 - val_mean_absolute_error: 5.5451 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5372 - mean_absolute_error: 5.5372 - val_loss: 5.5445 - val_mean_absolute_error: 5.5445 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5366 - mean_absolute_error: 5.5366 - val_loss: 5.5440 - val_mean_absolute_error: 5.5440 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5362 - mean_absolute_error: 5.5362 - val_loss: 5.5436 - val_mean_absolute_error: 5.5436 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5357 - mean_absolute_error: 5.5357 - val_loss: 5.5431 - val_mean_absolute_error: 5.5431 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5352 - mean_absolute_error: 5.5352 - val_loss: 5.5426 - val_mean_absolute_error: 5.5426 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5348 - mean_absolute_error: 5.5348 - val_loss: 5.5422 - val_mean_absolute_error: 5.5422 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5343 - mean_absolute_error: 5.5343 - val_loss: 5.5418 - val_mean_absolute_error: 5.5418 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5339 - mean_absolute_error: 5.5339 - val_loss: 5.5414 - val_mean_absolute_error: 5.5414 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5335 - mean_absolute_error: 5.5335 - val_loss: 5.5410 - val_mean_absolute_error: 5.5410 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5331 - mean_absolute_error: 5.5331 - val_loss: 5.5406 - val_mean_absolute_error: 5.5406 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5327 - mean_absolute_error: 5.5327 - val_loss: 5.5402 - val_mean_absolute_error: 5.5402 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5323 - mean_absolute_error: 5.5323 - val_loss: 5.5398 - val_mean_absolute_error: 5.5398 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5320 - mean_absolute_error: 5.5320 - val_loss: 5.5394 - val_mean_absolute_error: 5.5394 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5316 - mean_absolute_error: 5.5316 - val_loss: 5.5391 - val_mean_absolute_error: 5.5391 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5312 - mean_absolute_error: 5.5312 - val_loss: 5.5387 - val_mean_absolute_error: 5.5387 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5309 - mean_absolute_error: 5.5309 - val_loss: 5.5384 - val_mean_absolute_error: 5.5384 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5306 - mean_absolute_error: 5.5306 - val_loss: 5.5381 - val_mean_absolute_error: 5.5381 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5302 - mean_absolute_error: 5.5302 - val_loss: 5.5377 - val_mean_absolute_error: 5.5377 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5299 - mean_absolute_error: 5.5299 - val_loss: 5.5374 - val_mean_absolute_error: 5.5374 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5296 - mean_absolute_error: 5.5296 - val_loss: 5.5371 - val_mean_absolute_error: 5.5371 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5293 - mean_absolute_error: 5.5293 - val_loss: 5.5368 - val_mean_absolute_error: 5.5368 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5290 - mean_absolute_error: 5.5290 - val_loss: 5.5365 - val_mean_absolute_error: 5.5365 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4990 - mean_absolute_error: 5.4990 - val_loss: 5.3708 - val_mean_absolute_error: 5.3708 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2540 - mean_absolute_error: 5.2540 - val_loss: 5.1533 - val_mean_absolute_error: 5.1533 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0532 - mean_absolute_error: 5.0532 - val_loss: 4.9666 - val_mean_absolute_error: 4.9666 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8758 - mean_absolute_error: 4.8758 - val_loss: 4.7970 - val_mean_absolute_error: 4.7970 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7110 - mean_absolute_error: 4.7110 - val_loss: 4.6357 - val_mean_absolute_error: 4.6357 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5513 - mean_absolute_error: 4.5513 - val_loss: 4.4757 - val_mean_absolute_error: 4.4757 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3898 - mean_absolute_error: 4.3898 - val_loss: 4.3106 - val_mean_absolute_error: 4.3106 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2202 - mean_absolute_error: 4.2202 - val_loss: 4.1337 - val_mean_absolute_error: 4.1337 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0352 - mean_absolute_error: 4.0352 - val_loss: 3.9401 - val_mean_absolute_error: 3.9401 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8252 - mean_absolute_error: 3.8252 - val_loss: 3.7159 - val_mean_absolute_error: 3.7159 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5774 - mean_absolute_error: 3.5774 - val_loss: 3.4469 - val_mean_absolute_error: 3.4469 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2804 - mean_absolute_error: 3.2804 - val_loss: 3.1224 - val_mean_absolute_error: 3.1224 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9267 - mean_absolute_error: 2.9267 - val_loss: 2.7322 - val_mean_absolute_error: 2.7322 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5021 - mean_absolute_error: 2.5021 - val_loss: 2.2657 - val_mean_absolute_error: 2.2657 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9992 - mean_absolute_error: 1.9992 - val_loss: 1.7312 - val_mean_absolute_error: 1.7312 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5168 - mean_absolute_error: 1.5168 - val_loss: 1.3460 - val_mean_absolute_error: 1.3460 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2669 - mean_absolute_error: 1.2669 - val_loss: 1.1834 - val_mean_absolute_error: 1.1834 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1595 - mean_absolute_error: 1.1595 - val_loss: 1.1042 - val_mean_absolute_error: 1.1042 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0962 - mean_absolute_error: 1.0962 - val_loss: 1.0585 - val_mean_absolute_error: 1.0585 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0511 - mean_absolute_error: 1.0511 - val_loss: 1.0229 - val_mean_absolute_error: 1.0229 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0144 - mean_absolute_error: 1.0144 - val_loss: 0.9969 - val_mean_absolute_error: 0.9969 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9848 - mean_absolute_error: 0.9848 - val_loss: 0.9757 - val_mean_absolute_error: 0.9757 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9597 - mean_absolute_error: 0.9597 - val_loss: 0.9570 - val_mean_absolute_error: 0.9570 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9380 - mean_absolute_error: 0.9380 - val_loss: 0.9405 - val_mean_absolute_error: 0.9405 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9185 - mean_absolute_error: 0.9185 - val_loss: 0.9255 - val_mean_absolute_error: 0.9255 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9016 - mean_absolute_error: 0.9016 - val_loss: 0.9131 - val_mean_absolute_error: 0.9131 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8872 - mean_absolute_error: 0.8872 - val_loss: 0.9013 - val_mean_absolute_error: 0.9013 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8742 - mean_absolute_error: 0.8742 - val_loss: 0.8908 - val_mean_absolute_error: 0.8908 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8625 - mean_absolute_error: 0.8625 - val_loss: 0.8813 - val_mean_absolute_error: 0.8813 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8514 - mean_absolute_error: 0.8514 - val_loss: 0.8729 - val_mean_absolute_error: 0.8729 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8415 - mean_absolute_error: 0.8415 - val_loss: 0.8646 - val_mean_absolute_error: 0.8646 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8324 - mean_absolute_error: 0.8324 - val_loss: 0.8572 - val_mean_absolute_error: 0.8572 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8239 - mean_absolute_error: 0.8239 - val_loss: 0.8501 - val_mean_absolute_error: 0.8501 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8157 - mean_absolute_error: 0.8157 - val_loss: 0.8434 - val_mean_absolute_error: 0.8434 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8079 - mean_absolute_error: 0.8079 - val_loss: 0.8366 - val_mean_absolute_error: 0.8366 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8004 - mean_absolute_error: 0.8004 - val_loss: 0.8306 - val_mean_absolute_error: 0.8306 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7935 - mean_absolute_error: 0.7935 - val_loss: 0.8250 - val_mean_absolute_error: 0.8250 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7865 - mean_absolute_error: 0.7865 - val_loss: 0.8196 - val_mean_absolute_error: 0.8196 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7803 - mean_absolute_error: 0.7803 - val_loss: 0.8146 - val_mean_absolute_error: 0.8146 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7742 - mean_absolute_error: 0.7742 - val_loss: 0.8099 - val_mean_absolute_error: 0.8099 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7686 - mean_absolute_error: 0.7686 - val_loss: 0.8057 - val_mean_absolute_error: 0.8057 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7630 - mean_absolute_error: 0.7630 - val_loss: 0.8018 - val_mean_absolute_error: 0.8018 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7579 - mean_absolute_error: 0.7579 - val_loss: 0.7979 - val_mean_absolute_error: 0.7979 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7529 - mean_absolute_error: 0.7529 - val_loss: 0.7944 - val_mean_absolute_error: 0.7944 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7482 - mean_absolute_error: 0.7482 - val_loss: 0.7906 - val_mean_absolute_error: 0.7906 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7439 - mean_absolute_error: 0.7439 - val_loss: 0.7875 - val_mean_absolute_error: 0.7875 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7398 - mean_absolute_error: 0.7398 - val_loss: 0.7842 - val_mean_absolute_error: 0.7842 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7359 - mean_absolute_error: 0.7359 - val_loss: 0.7816 - val_mean_absolute_error: 0.7816 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7321 - mean_absolute_error: 0.7321 - val_loss: 0.7784 - val_mean_absolute_error: 0.7784 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7285 - mean_absolute_error: 0.7285 - val_loss: 0.7757 - val_mean_absolute_error: 0.7757 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417
def RMS_prop(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Momentum','Decay','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for m in Momentum:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
sgd = optimizers.SGD(lr=l, decay=d, momentum=m)
model1.compile(optimizer=sgd,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Momentum':m,'Decay':d,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data4 = RMS_prop('SGD')
Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.6377 - mean_absolute_error: 2.6377 - val_loss: 0.8651 - val_mean_absolute_error: 0.8651 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6417 - mean_absolute_error: 0.6417 - val_loss: 0.5852 - val_mean_absolute_error: 0.5852 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5386 - mean_absolute_error: 0.5386 - val_loss: 0.5736 - val_mean_absolute_error: 0.5736 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5678 - val_mean_absolute_error: 0.5678 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mean_absolute_error: 0.5169 - val_loss: 0.5850 - val_mean_absolute_error: 0.5850 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5247 - mean_absolute_error: 0.5247 - val_loss: 0.5409 - val_mean_absolute_error: 0.5409 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5502 - mean_absolute_error: 0.5502 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5223 - val_mean_absolute_error: 0.5223 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5750 - val_mean_absolute_error: 0.5750 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5419 - val_mean_absolute_error: 0.5419 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5897 - val_mean_absolute_error: 0.5897 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5499 - val_mean_absolute_error: 0.5499 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_absolute_error: 0.4958 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4819 - mean_absolute_error: 0.4819 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5176 - val_mean_absolute_error: 0.5176 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5223 - val_mean_absolute_error: 0.5223 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5456 - val_mean_absolute_error: 0.5456 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.4853 - mean_absolute_error: 3.4853 - val_loss: 1.1179 - val_mean_absolute_error: 1.1179 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6465 - mean_absolute_error: 0.6465 - val_loss: 0.6055 - val_mean_absolute_error: 0.6055 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5343 - mean_absolute_error: 0.5343 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5336 - mean_absolute_error: 0.5336 - val_loss: 0.5780 - val_mean_absolute_error: 0.5780 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5307 - mean_absolute_error: 0.5307 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5068 - mean_absolute_error: 0.5068 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5115 - mean_absolute_error: 0.5115 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5389 - val_mean_absolute_error: 0.5389 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5464 - val_mean_absolute_error: 0.5464 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4888 - mean_absolute_error: 0.4888 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4705 - mean_absolute_error: 0.4705 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.4103 - mean_absolute_error: 4.4103 - val_loss: 3.8062 - val_mean_absolute_error: 3.8062 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5380 - mean_absolute_error: 3.5380 - val_loss: 3.3075 - val_mean_absolute_error: 3.3075 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1408 - mean_absolute_error: 3.1408 - val_loss: 3.0101 - val_mean_absolute_error: 3.0101 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9066 - mean_absolute_error: 2.9066 - val_loss: 2.8237 - val_mean_absolute_error: 2.8237 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7521 - mean_absolute_error: 2.7521 - val_loss: 2.6932 - val_mean_absolute_error: 2.6932 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6392 - mean_absolute_error: 2.6392 - val_loss: 2.5981 - val_mean_absolute_error: 2.5981 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5531 - mean_absolute_error: 2.5531 - val_loss: 2.5267 - val_mean_absolute_error: 2.5267 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4884 - mean_absolute_error: 2.4884 - val_loss: 2.4692 - val_mean_absolute_error: 2.4692 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4385 - mean_absolute_error: 2.4385 - val_loss: 2.4218 - val_mean_absolute_error: 2.4218 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3965 - mean_absolute_error: 2.3965 - val_loss: 2.3800 - val_mean_absolute_error: 2.3800 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3600 - mean_absolute_error: 2.3600 - val_loss: 2.3446 - val_mean_absolute_error: 2.3446 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3287 - mean_absolute_error: 2.3287 - val_loss: 2.3125 - val_mean_absolute_error: 2.3125 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3003 - mean_absolute_error: 2.3003 - val_loss: 2.2838 - val_mean_absolute_error: 2.2838 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2746 - mean_absolute_error: 2.2746 - val_loss: 2.2584 - val_mean_absolute_error: 2.2584 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2517 - mean_absolute_error: 2.2517 - val_loss: 2.2351 - val_mean_absolute_error: 2.2351 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2309 - mean_absolute_error: 2.2309 - val_loss: 2.2140 - val_mean_absolute_error: 2.2140 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2119 - mean_absolute_error: 2.2119 - val_loss: 2.1945 - val_mean_absolute_error: 2.1945 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1941 - mean_absolute_error: 2.1941 - val_loss: 2.1757 - val_mean_absolute_error: 2.1757 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1771 - mean_absolute_error: 2.1771 - val_loss: 2.1581 - val_mean_absolute_error: 2.1581 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1609 - mean_absolute_error: 2.1609 - val_loss: 2.1417 - val_mean_absolute_error: 2.1417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1460 - mean_absolute_error: 2.1460 - val_loss: 2.1264 - val_mean_absolute_error: 2.1264 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1321 - mean_absolute_error: 2.1321 - val_loss: 2.1120 - val_mean_absolute_error: 2.1120 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1189 - mean_absolute_error: 2.1189 - val_loss: 2.0981 - val_mean_absolute_error: 2.0981 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1065 - mean_absolute_error: 2.1065 - val_loss: 2.0851 - val_mean_absolute_error: 2.0851 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0947 - mean_absolute_error: 2.0947 - val_loss: 2.0729 - val_mean_absolute_error: 2.0729 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0833 - mean_absolute_error: 2.0833 - val_loss: 2.0614 - val_mean_absolute_error: 2.0614 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0724 - mean_absolute_error: 2.0724 - val_loss: 2.0506 - val_mean_absolute_error: 2.0506 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0619 - mean_absolute_error: 2.0619 - val_loss: 2.0400 - val_mean_absolute_error: 2.0400 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0518 - mean_absolute_error: 2.0518 - val_loss: 2.0299 - val_mean_absolute_error: 2.0299 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0419 - mean_absolute_error: 2.0419 - val_loss: 2.0202 - val_mean_absolute_error: 2.0202 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0324 - mean_absolute_error: 2.0324 - val_loss: 2.0106 - val_mean_absolute_error: 2.0106 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0232 - mean_absolute_error: 2.0232 - val_loss: 2.0016 - val_mean_absolute_error: 2.0016 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0143 - mean_absolute_error: 2.0143 - val_loss: 1.9927 - val_mean_absolute_error: 1.9927 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0058 - mean_absolute_error: 2.0058 - val_loss: 1.9840 - val_mean_absolute_error: 1.9840 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9974 - mean_absolute_error: 1.9974 - val_loss: 1.9758 - val_mean_absolute_error: 1.9758 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9892 - mean_absolute_error: 1.9892 - val_loss: 1.9675 - val_mean_absolute_error: 1.9675 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9812 - mean_absolute_error: 1.9812 - val_loss: 1.9595 - val_mean_absolute_error: 1.9595 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9734 - mean_absolute_error: 1.9734 - val_loss: 1.9519 - val_mean_absolute_error: 1.9519 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9659 - mean_absolute_error: 1.9659 - val_loss: 1.9444 - val_mean_absolute_error: 1.9444 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9586 - mean_absolute_error: 1.9586 - val_loss: 1.9372 - val_mean_absolute_error: 1.9372 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9515 - mean_absolute_error: 1.9515 - val_loss: 1.9300 - val_mean_absolute_error: 1.9300 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9445 - mean_absolute_error: 1.9445 - val_loss: 1.9229 - val_mean_absolute_error: 1.9229 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9377 - mean_absolute_error: 1.9377 - val_loss: 1.9162 - val_mean_absolute_error: 1.9162 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9311 - mean_absolute_error: 1.9311 - val_loss: 1.9095 - val_mean_absolute_error: 1.9095 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9248 - mean_absolute_error: 1.9248 - val_loss: 1.9029 - val_mean_absolute_error: 1.9029 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9184 - mean_absolute_error: 1.9184 - val_loss: 1.8966 - val_mean_absolute_error: 1.8966 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9123 - mean_absolute_error: 1.9123 - val_loss: 1.8903 - val_mean_absolute_error: 1.8903 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9062 - mean_absolute_error: 1.9062 - val_loss: 1.8843 - val_mean_absolute_error: 1.8843 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9003 - mean_absolute_error: 1.9003 - val_loss: 1.8783 - val_mean_absolute_error: 1.8783 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8944 - mean_absolute_error: 1.8944 - val_loss: 1.8724 - val_mean_absolute_error: 1.8724 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 4ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 5ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 4ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 5ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 4ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.7040 - mean_absolute_error: 2.7040 - val_loss: 1.1546 - val_mean_absolute_error: 1.1546 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8978 - mean_absolute_error: 0.8978 - val_loss: 0.8660 - val_mean_absolute_error: 0.8660 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7379 - mean_absolute_error: 0.7379 - val_loss: 0.7889 - val_mean_absolute_error: 0.7889 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.7315 - val_mean_absolute_error: 0.7315 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6354 - mean_absolute_error: 0.6354 - val_loss: 0.6896 - val_mean_absolute_error: 0.6896 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6122 - mean_absolute_error: 0.6122 - val_loss: 0.6688 - val_mean_absolute_error: 0.6688 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5923 - mean_absolute_error: 0.5923 - val_loss: 0.6447 - val_mean_absolute_error: 0.6447 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5818 - mean_absolute_error: 0.5818 - val_loss: 0.6311 - val_mean_absolute_error: 0.6311 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5670 - mean_absolute_error: 0.5670 - val_loss: 0.6235 - val_mean_absolute_error: 0.6235 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5585 - mean_absolute_error: 0.5585 - val_loss: 0.6105 - val_mean_absolute_error: 0.6105 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5508 - mean_absolute_error: 0.5508 - val_loss: 0.6021 - val_mean_absolute_error: 0.6021 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5463 - mean_absolute_error: 0.5463 - val_loss: 0.5965 - val_mean_absolute_error: 0.5965 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5433 - mean_absolute_error: 0.5433 - val_loss: 0.5940 - val_mean_absolute_error: 0.5940 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5369 - mean_absolute_error: 0.5369 - val_loss: 0.5845 - val_mean_absolute_error: 0.5845 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5348 - mean_absolute_error: 0.5348 - val_loss: 0.5820 - val_mean_absolute_error: 0.5820 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5280 - mean_absolute_error: 0.5280 - val_loss: 0.5759 - val_mean_absolute_error: 0.5759 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5256 - mean_absolute_error: 0.5256 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5692 - val_mean_absolute_error: 0.5692 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5213 - mean_absolute_error: 0.5213 - val_loss: 0.5661 - val_mean_absolute_error: 0.5661 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5639 - val_mean_absolute_error: 0.5639 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5645 - val_mean_absolute_error: 0.5645 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5629 - val_mean_absolute_error: 0.5629 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5598 - val_mean_absolute_error: 0.5598 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5601 - val_mean_absolute_error: 0.5601 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5551 - val_mean_absolute_error: 0.5551 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5106 - mean_absolute_error: 0.5106 - val_loss: 0.5533 - val_mean_absolute_error: 0.5533 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5100 - mean_absolute_error: 0.5100 - val_loss: 0.5531 - val_mean_absolute_error: 0.5531 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5524 - val_mean_absolute_error: 0.5524 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5092 - mean_absolute_error: 0.5092 - val_loss: 0.5507 - val_mean_absolute_error: 0.5507 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.5499 - val_mean_absolute_error: 0.5499 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5501 - val_mean_absolute_error: 0.5501 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.5502 - val_mean_absolute_error: 0.5502 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5507 - val_mean_absolute_error: 0.5507 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5058 - mean_absolute_error: 0.5058 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5497 - val_mean_absolute_error: 0.5497 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5473 - val_mean_absolute_error: 0.5473 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5466 - val_mean_absolute_error: 0.5466 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5460 - val_mean_absolute_error: 0.5460 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5469 - val_mean_absolute_error: 0.5469 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5487 - val_mean_absolute_error: 0.5487 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5031 - mean_absolute_error: 0.5031 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5436 - val_mean_absolute_error: 0.5436 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.5447 - val_mean_absolute_error: 0.5447 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5429 - val_mean_absolute_error: 0.5429 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5426 - val_mean_absolute_error: 0.5426 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5425 - val_mean_absolute_error: 0.5425 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4810 - mean_absolute_error: 5.4810 - val_loss: 5.4531 - val_mean_absolute_error: 5.4531 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4219 - mean_absolute_error: 5.4219 - val_loss: 5.4220 - val_mean_absolute_error: 5.4220 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3975 - mean_absolute_error: 5.3975 - val_loss: 5.4026 - val_mean_absolute_error: 5.4026 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3810 - mean_absolute_error: 5.3810 - val_loss: 5.3885 - val_mean_absolute_error: 5.3885 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3685 - mean_absolute_error: 5.3685 - val_loss: 5.3773 - val_mean_absolute_error: 5.3773 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3583 - mean_absolute_error: 5.3583 - val_loss: 5.3682 - val_mean_absolute_error: 5.3682 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3498 - mean_absolute_error: 5.3498 - val_loss: 5.3604 - val_mean_absolute_error: 5.3604 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3425 - mean_absolute_error: 5.3425 - val_loss: 5.3536 - val_mean_absolute_error: 5.3536 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3361 - mean_absolute_error: 5.3361 - val_loss: 5.3476 - val_mean_absolute_error: 5.3476 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3303 - mean_absolute_error: 5.3303 - val_loss: 5.3422 - val_mean_absolute_error: 5.3422 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3252 - mean_absolute_error: 5.3252 - val_loss: 5.3373 - val_mean_absolute_error: 5.3373 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3204 - mean_absolute_error: 5.3204 - val_loss: 5.3328 - val_mean_absolute_error: 5.3328 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3161 - mean_absolute_error: 5.3161 - val_loss: 5.3287 - val_mean_absolute_error: 5.3287 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3121 - mean_absolute_error: 5.3121 - val_loss: 5.3249 - val_mean_absolute_error: 5.3249 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3083 - mean_absolute_error: 5.3083 - val_loss: 5.3212 - val_mean_absolute_error: 5.3212 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3048 - mean_absolute_error: 5.3048 - val_loss: 5.3179 - val_mean_absolute_error: 5.3179 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3015 - mean_absolute_error: 5.3015 - val_loss: 5.3147 - val_mean_absolute_error: 5.3147 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2984 - mean_absolute_error: 5.2984 - val_loss: 5.3116 - val_mean_absolute_error: 5.3116 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2954 - mean_absolute_error: 5.2954 - val_loss: 5.3088 - val_mean_absolute_error: 5.3088 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2926 - mean_absolute_error: 5.2926 - val_loss: 5.3060 - val_mean_absolute_error: 5.3060 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2899 - mean_absolute_error: 5.2899 - val_loss: 5.3034 - val_mean_absolute_error: 5.3034 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2874 - mean_absolute_error: 5.2874 - val_loss: 5.3010 - val_mean_absolute_error: 5.3010 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2849 - mean_absolute_error: 5.2849 - val_loss: 5.2986 - val_mean_absolute_error: 5.2986 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2826 - mean_absolute_error: 5.2826 - val_loss: 5.2963 - val_mean_absolute_error: 5.2963 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2804 - mean_absolute_error: 5.2804 - val_loss: 5.2941 - val_mean_absolute_error: 5.2941 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2782 - mean_absolute_error: 5.2782 - val_loss: 5.2920 - val_mean_absolute_error: 5.2920 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2761 - mean_absolute_error: 5.2761 - val_loss: 5.2899 - val_mean_absolute_error: 5.2899 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2741 - mean_absolute_error: 5.2741 - val_loss: 5.2880 - val_mean_absolute_error: 5.2880 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2722 - mean_absolute_error: 5.2722 - val_loss: 5.2861 - val_mean_absolute_error: 5.2861 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2703 - mean_absolute_error: 5.2703 - val_loss: 5.2843 - val_mean_absolute_error: 5.2843 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2685 - mean_absolute_error: 5.2685 - val_loss: 5.2825 - val_mean_absolute_error: 5.2825 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2667 - mean_absolute_error: 5.2667 - val_loss: 5.2807 - val_mean_absolute_error: 5.2807 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2650 - mean_absolute_error: 5.2650 - val_loss: 5.2791 - val_mean_absolute_error: 5.2791 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2633 - mean_absolute_error: 5.2633 - val_loss: 5.2774 - val_mean_absolute_error: 5.2774 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2617 - mean_absolute_error: 5.2617 - val_loss: 5.2759 - val_mean_absolute_error: 5.2759 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2601 - mean_absolute_error: 5.2601 - val_loss: 5.2743 - val_mean_absolute_error: 5.2743 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2586 - mean_absolute_error: 5.2586 - val_loss: 5.2728 - val_mean_absolute_error: 5.2728 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2571 - mean_absolute_error: 5.2571 - val_loss: 5.2714 - val_mean_absolute_error: 5.2714 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2557 - mean_absolute_error: 5.2557 - val_loss: 5.2699 - val_mean_absolute_error: 5.2699 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2543 - mean_absolute_error: 5.2543 - val_loss: 5.2686 - val_mean_absolute_error: 5.2686 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2529 - mean_absolute_error: 5.2529 - val_loss: 5.2672 - val_mean_absolute_error: 5.2672 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2515 - mean_absolute_error: 5.2515 - val_loss: 5.2659 - val_mean_absolute_error: 5.2659 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2502 - mean_absolute_error: 5.2502 - val_loss: 5.2646 - val_mean_absolute_error: 5.2646 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2489 - mean_absolute_error: 5.2489 - val_loss: 5.2633 - val_mean_absolute_error: 5.2633 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2476 - mean_absolute_error: 5.2476 - val_loss: 5.2621 - val_mean_absolute_error: 5.2621 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2464 - mean_absolute_error: 5.2464 - val_loss: 5.2608 - val_mean_absolute_error: 5.2608 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2452 - mean_absolute_error: 5.2452 - val_loss: 5.2596 - val_mean_absolute_error: 5.2596 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2440 - mean_absolute_error: 5.2440 - val_loss: 5.2585 - val_mean_absolute_error: 5.2585 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2428 - mean_absolute_error: 5.2428 - val_loss: 5.2573 - val_mean_absolute_error: 5.2573 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2417 - mean_absolute_error: 5.2417 - val_loss: 5.2562 - val_mean_absolute_error: 5.2562 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.9115 - mean_absolute_error: 3.9115 - val_loss: 1.5103 - val_mean_absolute_error: 1.5103 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0380 - mean_absolute_error: 1.0380 - val_loss: 0.9242 - val_mean_absolute_error: 0.9242 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7989 - mean_absolute_error: 0.7989 - val_loss: 0.7933 - val_mean_absolute_error: 0.7933 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7081 - mean_absolute_error: 0.7081 - val_loss: 0.7431 - val_mean_absolute_error: 0.7431 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6963 - val_mean_absolute_error: 0.6963 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6293 - mean_absolute_error: 0.6293 - val_loss: 0.6758 - val_mean_absolute_error: 0.6758 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6062 - mean_absolute_error: 0.6062 - val_loss: 0.6483 - val_mean_absolute_error: 0.6483 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5881 - mean_absolute_error: 0.5881 - val_loss: 0.6409 - val_mean_absolute_error: 0.6409 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5783 - mean_absolute_error: 0.5783 - val_loss: 0.6265 - val_mean_absolute_error: 0.6265 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5642 - mean_absolute_error: 0.5642 - val_loss: 0.6172 - val_mean_absolute_error: 0.6172 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5567 - mean_absolute_error: 0.5567 - val_loss: 0.6075 - val_mean_absolute_error: 0.6075 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5496 - mean_absolute_error: 0.5496 - val_loss: 0.6027 - val_mean_absolute_error: 0.6027 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5436 - mean_absolute_error: 0.5436 - val_loss: 0.5974 - val_mean_absolute_error: 0.5974 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5427 - mean_absolute_error: 0.5427 - val_loss: 0.5950 - val_mean_absolute_error: 0.5950 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5369 - mean_absolute_error: 0.5369 - val_loss: 0.5885 - val_mean_absolute_error: 0.5885 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5354 - mean_absolute_error: 0.5354 - val_loss: 0.5852 - val_mean_absolute_error: 0.5852 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5308 - mean_absolute_error: 0.5308 - val_loss: 0.5830 - val_mean_absolute_error: 0.5830 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5276 - mean_absolute_error: 0.5276 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.5766 - val_mean_absolute_error: 0.5766 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5744 - val_mean_absolute_error: 0.5744 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5217 - mean_absolute_error: 0.5217 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5679 - val_mean_absolute_error: 0.5679 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5660 - val_mean_absolute_error: 0.5660 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5659 - val_mean_absolute_error: 0.5659 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5646 - val_mean_absolute_error: 0.5646 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5631 - val_mean_absolute_error: 0.5631 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5629 - val_mean_absolute_error: 0.5629 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5125 - mean_absolute_error: 0.5125 - val_loss: 0.5606 - val_mean_absolute_error: 0.5606 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5602 - val_mean_absolute_error: 0.5602 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5110 - mean_absolute_error: 0.5110 - val_loss: 0.5582 - val_mean_absolute_error: 0.5582 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5577 - val_mean_absolute_error: 0.5577 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5092 - mean_absolute_error: 0.5092 - val_loss: 0.5564 - val_mean_absolute_error: 0.5564 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5083 - mean_absolute_error: 0.5083 - val_loss: 0.5562 - val_mean_absolute_error: 0.5562 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.5559 - val_mean_absolute_error: 0.5559 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5545 - val_mean_absolute_error: 0.5545 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5061 - mean_absolute_error: 0.5061 - val_loss: 0.5548 - val_mean_absolute_error: 0.5548 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5061 - mean_absolute_error: 0.5061 - val_loss: 0.5530 - val_mean_absolute_error: 0.5530 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5520 - val_mean_absolute_error: 0.5520 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5513 - val_mean_absolute_error: 0.5513 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5505 - val_mean_absolute_error: 0.5505 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5503 - val_mean_absolute_error: 0.5503 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5505 - val_mean_absolute_error: 0.5505 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5031 - mean_absolute_error: 0.5031 - val_loss: 0.5489 - val_mean_absolute_error: 0.5489 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.5479 - val_mean_absolute_error: 0.5479 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.5480 - val_mean_absolute_error: 0.5480 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5471 - val_mean_absolute_error: 0.5471 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5348 - mean_absolute_error: 5.5348 - val_loss: 5.5147 - val_mean_absolute_error: 5.5147 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5038 - mean_absolute_error: 5.5038 - val_loss: 5.4990 - val_mean_absolute_error: 5.4990 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4920 - mean_absolute_error: 5.4920 - val_loss: 5.4897 - val_mean_absolute_error: 5.4897 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4842 - mean_absolute_error: 5.4842 - val_loss: 5.4830 - val_mean_absolute_error: 5.4830 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4784 - mean_absolute_error: 5.4784 - val_loss: 5.4778 - val_mean_absolute_error: 5.4778 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4737 - mean_absolute_error: 5.4737 - val_loss: 5.4735 - val_mean_absolute_error: 5.4735 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4699 - mean_absolute_error: 5.4699 - val_loss: 5.4699 - val_mean_absolute_error: 5.4699 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4665 - mean_absolute_error: 5.4665 - val_loss: 5.4668 - val_mean_absolute_error: 5.4668 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4636 - mean_absolute_error: 5.4636 - val_loss: 5.4640 - val_mean_absolute_error: 5.4640 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4610 - mean_absolute_error: 5.4610 - val_loss: 5.4615 - val_mean_absolute_error: 5.4615 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4586 - mean_absolute_error: 5.4586 - val_loss: 5.4592 - val_mean_absolute_error: 5.4592 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4565 - mean_absolute_error: 5.4565 - val_loss: 5.4571 - val_mean_absolute_error: 5.4571 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4545 - mean_absolute_error: 5.4545 - val_loss: 5.4552 - val_mean_absolute_error: 5.4552 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4527 - mean_absolute_error: 5.4527 - val_loss: 5.4534 - val_mean_absolute_error: 5.4534 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4510 - mean_absolute_error: 5.4510 - val_loss: 5.4518 - val_mean_absolute_error: 5.4518 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4494 - mean_absolute_error: 5.4494 - val_loss: 5.4502 - val_mean_absolute_error: 5.4502 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4479 - mean_absolute_error: 5.4479 - val_loss: 5.4488 - val_mean_absolute_error: 5.4488 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4465 - mean_absolute_error: 5.4465 - val_loss: 5.4474 - val_mean_absolute_error: 5.4474 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4452 - mean_absolute_error: 5.4452 - val_loss: 5.4461 - val_mean_absolute_error: 5.4461 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4439 - mean_absolute_error: 5.4439 - val_loss: 5.4448 - val_mean_absolute_error: 5.4448 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4427 - mean_absolute_error: 5.4427 - val_loss: 5.4436 - val_mean_absolute_error: 5.4436 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4416 - mean_absolute_error: 5.4416 - val_loss: 5.4425 - val_mean_absolute_error: 5.4425 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4405 - mean_absolute_error: 5.4405 - val_loss: 5.4414 - val_mean_absolute_error: 5.4414 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4395 - mean_absolute_error: 5.4395 - val_loss: 5.4404 - val_mean_absolute_error: 5.4404 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4385 - mean_absolute_error: 5.4385 - val_loss: 5.4394 - val_mean_absolute_error: 5.4394 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4375 - mean_absolute_error: 5.4375 - val_loss: 5.4384 - val_mean_absolute_error: 5.4384 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4366 - mean_absolute_error: 5.4366 - val_loss: 5.4375 - val_mean_absolute_error: 5.4375 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4357 - mean_absolute_error: 5.4357 - val_loss: 5.4366 - val_mean_absolute_error: 5.4366 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4348 - mean_absolute_error: 5.4348 - val_loss: 5.4358 - val_mean_absolute_error: 5.4358 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4340 - mean_absolute_error: 5.4340 - val_loss: 5.4349 - val_mean_absolute_error: 5.4349 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4332 - mean_absolute_error: 5.4332 - val_loss: 5.4341 - val_mean_absolute_error: 5.4341 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4324 - mean_absolute_error: 5.4324 - val_loss: 5.4333 - val_mean_absolute_error: 5.4333 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4316 - mean_absolute_error: 5.4316 - val_loss: 5.4326 - val_mean_absolute_error: 5.4326 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4309 - mean_absolute_error: 5.4309 - val_loss: 5.4319 - val_mean_absolute_error: 5.4319 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4302 - mean_absolute_error: 5.4302 - val_loss: 5.4311 - val_mean_absolute_error: 5.4311 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4295 - mean_absolute_error: 5.4295 - val_loss: 5.4305 - val_mean_absolute_error: 5.4305 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4288 - mean_absolute_error: 5.4288 - val_loss: 5.4298 - val_mean_absolute_error: 5.4298 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4281 - mean_absolute_error: 5.4281 - val_loss: 5.4291 - val_mean_absolute_error: 5.4291 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4275 - mean_absolute_error: 5.4275 - val_loss: 5.4285 - val_mean_absolute_error: 5.4285 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4269 - mean_absolute_error: 5.4269 - val_loss: 5.4279 - val_mean_absolute_error: 5.4279 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4263 - mean_absolute_error: 5.4263 - val_loss: 5.4273 - val_mean_absolute_error: 5.4273 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4257 - mean_absolute_error: 5.4257 - val_loss: 5.4267 - val_mean_absolute_error: 5.4267 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4251 - mean_absolute_error: 5.4251 - val_loss: 5.4261 - val_mean_absolute_error: 5.4261 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4245 - mean_absolute_error: 5.4245 - val_loss: 5.4255 - val_mean_absolute_error: 5.4255 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 5.4240 - mean_absolute_error: 5.4240 - val_loss: 5.4250 - val_mean_absolute_error: 5.4250 Epoch 46/50 35/35 [==============================] - 0s 4ms/step - loss: 5.4234 - mean_absolute_error: 5.4234 - val_loss: 5.4244 - val_mean_absolute_error: 5.4244 Epoch 47/50 35/35 [==============================] - 0s 4ms/step - loss: 5.4229 - mean_absolute_error: 5.4229 - val_loss: 5.4239 - val_mean_absolute_error: 5.4239 Epoch 48/50 35/35 [==============================] - 0s 4ms/step - loss: 5.4224 - mean_absolute_error: 5.4224 - val_loss: 5.4234 - val_mean_absolute_error: 5.4234 Epoch 49/50 35/35 [==============================] - 0s 3ms/step - loss: 5.4219 - mean_absolute_error: 5.4219 - val_loss: 5.4228 - val_mean_absolute_error: 5.4228 Epoch 50/50 35/35 [==============================] - 0s 3ms/step - loss: 5.4214 - mean_absolute_error: 5.4214 - val_loss: 5.4223 - val_mean_absolute_error: 5.4223 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.7521 - mean_absolute_error: 3.7521 - val_loss: 0.7010 - val_mean_absolute_error: 0.7010 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5791 - mean_absolute_error: 0.5791 - val_loss: 0.5645 - val_mean_absolute_error: 0.5645 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5869 - mean_absolute_error: 0.5869 - val_loss: 0.5685 - val_mean_absolute_error: 0.5685 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5705 - mean_absolute_error: 0.5705 - val_loss: 0.6281 - val_mean_absolute_error: 0.6281 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5819 - val_mean_absolute_error: 0.5819 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5426 - mean_absolute_error: 0.5426 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.6147 - val_mean_absolute_error: 0.6147 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5079 - mean_absolute_error: 0.5079 - val_loss: 0.5249 - val_mean_absolute_error: 0.5249 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4939 - mean_absolute_error: 0.4939 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.6198 - val_mean_absolute_error: 0.6198 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5005 - mean_absolute_error: 0.5005 - val_loss: 0.5999 - val_mean_absolute_error: 0.5999 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.4933 - val_mean_absolute_error: 0.4933 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5548 - val_mean_absolute_error: 0.5548 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.7289 - val_mean_absolute_error: 0.7289 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5252 - mean_absolute_error: 0.5252 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5599 - val_mean_absolute_error: 0.5599 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5497 - val_mean_absolute_error: 0.5497 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4749 - val_mean_absolute_error: 0.4749 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4542 - mean_absolute_error: 0.4542 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4610 - mean_absolute_error: 0.4610 - val_loss: 0.4818 - val_mean_absolute_error: 0.4818 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4441 - mean_absolute_error: 0.4441 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4416 - mean_absolute_error: 0.4416 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4530 - mean_absolute_error: 0.4530 - val_loss: 0.5613 - val_mean_absolute_error: 0.5613 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4474 - mean_absolute_error: 0.4474 - val_loss: 0.5476 - val_mean_absolute_error: 0.5476 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4420 - mean_absolute_error: 0.4420 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mean_absolute_error: 0.4622 - val_loss: 0.4704 - val_mean_absolute_error: 0.4704 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4472 - mean_absolute_error: 0.4472 - val_loss: 0.4820 - val_mean_absolute_error: 0.4820 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4612 - mean_absolute_error: 0.4612 - val_loss: 0.4871 - val_mean_absolute_error: 0.4871 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4285 - mean_absolute_error: 0.4285 - val_loss: 0.4681 - val_mean_absolute_error: 0.4681 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3600 - mean_absolute_error: 1.3600 - val_loss: 0.5886 - val_mean_absolute_error: 0.5886 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5595 - mean_absolute_error: 0.5595 - val_loss: 0.6033 - val_mean_absolute_error: 0.6033 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5212 - mean_absolute_error: 0.5212 - val_loss: 0.5853 - val_mean_absolute_error: 0.5853 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5106 - mean_absolute_error: 0.5106 - val_loss: 0.5613 - val_mean_absolute_error: 0.5613 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4858 - val_mean_absolute_error: 0.4858 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.4869 - val_mean_absolute_error: 0.4869 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4626 - mean_absolute_error: 0.4626 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4624 - mean_absolute_error: 0.4624 - val_loss: 0.4824 - val_mean_absolute_error: 0.4824 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4634 - mean_absolute_error: 0.4634 - val_loss: 0.4819 - val_mean_absolute_error: 0.4819 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4600 - mean_absolute_error: 0.4600 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4600 - mean_absolute_error: 0.4600 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4813 - val_mean_absolute_error: 0.4813 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4614 - mean_absolute_error: 0.4614 - val_loss: 0.4868 - val_mean_absolute_error: 0.4868 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mean_absolute_error: 0.4595 - val_loss: 0.4801 - val_mean_absolute_error: 0.4801 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.4797 - val_mean_absolute_error: 0.4797 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4582 - mean_absolute_error: 0.4582 - val_loss: 0.4797 - val_mean_absolute_error: 0.4797 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4574 - mean_absolute_error: 0.4574 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4583 - mean_absolute_error: 0.4583 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4782 - val_mean_absolute_error: 0.4782 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.4784 - val_mean_absolute_error: 0.4784 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4558 - mean_absolute_error: 0.4558 - val_loss: 0.4852 - val_mean_absolute_error: 0.4852 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 2.5591 - mean_absolute_error: 2.5591 - val_loss: 1.1750 - val_mean_absolute_error: 1.1750 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0025 - mean_absolute_error: 1.0025 - val_loss: 0.9400 - val_mean_absolute_error: 0.9400 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8648 - mean_absolute_error: 0.8648 - val_loss: 0.8593 - val_mean_absolute_error: 0.8593 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8131 - mean_absolute_error: 0.8131 - val_loss: 0.8211 - val_mean_absolute_error: 0.8211 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7812 - mean_absolute_error: 0.7812 - val_loss: 0.7975 - val_mean_absolute_error: 0.7975 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7581 - mean_absolute_error: 0.7581 - val_loss: 0.7754 - val_mean_absolute_error: 0.7754 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7404 - mean_absolute_error: 0.7404 - val_loss: 0.7601 - val_mean_absolute_error: 0.7601 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7259 - mean_absolute_error: 0.7259 - val_loss: 0.7433 - val_mean_absolute_error: 0.7433 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7127 - mean_absolute_error: 0.7127 - val_loss: 0.7330 - val_mean_absolute_error: 0.7330 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7021 - mean_absolute_error: 0.7021 - val_loss: 0.7223 - val_mean_absolute_error: 0.7223 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6927 - mean_absolute_error: 0.6927 - val_loss: 0.7128 - val_mean_absolute_error: 0.7128 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6845 - mean_absolute_error: 0.6845 - val_loss: 0.7056 - val_mean_absolute_error: 0.7056 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6774 - mean_absolute_error: 0.6774 - val_loss: 0.6988 - val_mean_absolute_error: 0.6988 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6707 - mean_absolute_error: 0.6707 - val_loss: 0.6926 - val_mean_absolute_error: 0.6926 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6875 - val_mean_absolute_error: 0.6875 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6595 - mean_absolute_error: 0.6595 - val_loss: 0.6822 - val_mean_absolute_error: 0.6822 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6550 - mean_absolute_error: 0.6550 - val_loss: 0.6777 - val_mean_absolute_error: 0.6777 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6509 - mean_absolute_error: 0.6509 - val_loss: 0.6737 - val_mean_absolute_error: 0.6737 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6466 - mean_absolute_error: 0.6466 - val_loss: 0.6696 - val_mean_absolute_error: 0.6696 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6431 - mean_absolute_error: 0.6431 - val_loss: 0.6654 - val_mean_absolute_error: 0.6654 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6396 - mean_absolute_error: 0.6396 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6366 - mean_absolute_error: 0.6366 - val_loss: 0.6587 - val_mean_absolute_error: 0.6587 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6336 - mean_absolute_error: 0.6336 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6306 - mean_absolute_error: 0.6306 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6280 - mean_absolute_error: 0.6280 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6255 - mean_absolute_error: 0.6255 - val_loss: 0.6484 - val_mean_absolute_error: 0.6484 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6229 - mean_absolute_error: 0.6229 - val_loss: 0.6458 - val_mean_absolute_error: 0.6458 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6206 - mean_absolute_error: 0.6206 - val_loss: 0.6437 - val_mean_absolute_error: 0.6437 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6184 - mean_absolute_error: 0.6184 - val_loss: 0.6417 - val_mean_absolute_error: 0.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6163 - mean_absolute_error: 0.6163 - val_loss: 0.6400 - val_mean_absolute_error: 0.6400 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6143 - mean_absolute_error: 0.6143 - val_loss: 0.6382 - val_mean_absolute_error: 0.6382 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6125 - mean_absolute_error: 0.6125 - val_loss: 0.6365 - val_mean_absolute_error: 0.6365 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6108 - mean_absolute_error: 0.6108 - val_loss: 0.6351 - val_mean_absolute_error: 0.6351 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6090 - mean_absolute_error: 0.6090 - val_loss: 0.6335 - val_mean_absolute_error: 0.6335 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6074 - mean_absolute_error: 0.6074 - val_loss: 0.6321 - val_mean_absolute_error: 0.6321 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6060 - mean_absolute_error: 0.6060 - val_loss: 0.6307 - val_mean_absolute_error: 0.6307 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6045 - mean_absolute_error: 0.6045 - val_loss: 0.6297 - val_mean_absolute_error: 0.6297 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6032 - mean_absolute_error: 0.6032 - val_loss: 0.6287 - val_mean_absolute_error: 0.6287 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6020 - mean_absolute_error: 0.6020 - val_loss: 0.6278 - val_mean_absolute_error: 0.6278 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6009 - mean_absolute_error: 0.6009 - val_loss: 0.6268 - val_mean_absolute_error: 0.6268 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5999 - mean_absolute_error: 0.5999 - val_loss: 0.6259 - val_mean_absolute_error: 0.6259 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5988 - mean_absolute_error: 0.5988 - val_loss: 0.6253 - val_mean_absolute_error: 0.6253 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5979 - mean_absolute_error: 0.5979 - val_loss: 0.6246 - val_mean_absolute_error: 0.6246 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5970 - mean_absolute_error: 0.5970 - val_loss: 0.6238 - val_mean_absolute_error: 0.6238 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5961 - mean_absolute_error: 0.5961 - val_loss: 0.6229 - val_mean_absolute_error: 0.6229 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5953 - mean_absolute_error: 0.5953 - val_loss: 0.6222 - val_mean_absolute_error: 0.6222 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5944 - mean_absolute_error: 0.5944 - val_loss: 0.6216 - val_mean_absolute_error: 0.6216 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5936 - mean_absolute_error: 0.5936 - val_loss: 0.6208 - val_mean_absolute_error: 0.6208 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5929 - mean_absolute_error: 0.5929 - val_loss: 0.6203 - val_mean_absolute_error: 0.6203 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5922 - mean_absolute_error: 0.5922 - val_loss: 0.6196 - val_mean_absolute_error: 0.6196 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.8184 - mean_absolute_error: 1.8184 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5936 - mean_absolute_error: 0.5936 - val_loss: 0.6349 - val_mean_absolute_error: 0.6349 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5689 - mean_absolute_error: 0.5689 - val_loss: 0.6183 - val_mean_absolute_error: 0.6183 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5683 - mean_absolute_error: 0.5683 - val_loss: 0.5628 - val_mean_absolute_error: 0.5628 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5429 - mean_absolute_error: 0.5429 - val_loss: 0.5587 - val_mean_absolute_error: 0.5587 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5315 - mean_absolute_error: 0.5315 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5092 - mean_absolute_error: 0.5092 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5249 - mean_absolute_error: 0.5249 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.6120 - val_mean_absolute_error: 0.6120 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.6021 - val_mean_absolute_error: 0.6021 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5085 - mean_absolute_error: 0.5085 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5116 - mean_absolute_error: 0.5116 - val_loss: 0.5483 - val_mean_absolute_error: 0.5483 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5265 - val_mean_absolute_error: 0.5265 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4949 - mean_absolute_error: 0.4949 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.4860 - val_mean_absolute_error: 0.4860 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4830 - mean_absolute_error: 0.4830 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5824 - val_mean_absolute_error: 0.5824 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.4804 - val_mean_absolute_error: 0.4804 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5679 - val_mean_absolute_error: 0.5679 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4810 - val_mean_absolute_error: 0.4810 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5270 - val_mean_absolute_error: 0.5270 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4835 - val_mean_absolute_error: 0.4835 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.8799 - mean_absolute_error: 1.8799 - val_loss: 0.7128 - val_mean_absolute_error: 0.7128 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5890 - mean_absolute_error: 0.5890 - val_loss: 0.6096 - val_mean_absolute_error: 0.6096 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5659 - mean_absolute_error: 0.5659 - val_loss: 0.6942 - val_mean_absolute_error: 0.6942 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5695 - mean_absolute_error: 0.5695 - val_loss: 0.6176 - val_mean_absolute_error: 0.6176 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5362 - mean_absolute_error: 0.5362 - val_loss: 0.5597 - val_mean_absolute_error: 0.5597 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5270 - mean_absolute_error: 0.5270 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5390 - mean_absolute_error: 0.5390 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5291 - mean_absolute_error: 0.5291 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5443 - mean_absolute_error: 0.5443 - val_loss: 0.5213 - val_mean_absolute_error: 0.5213 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.6027 - val_mean_absolute_error: 0.6027 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5121 - mean_absolute_error: 0.5121 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5911 - val_mean_absolute_error: 0.5911 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5090 - mean_absolute_error: 0.5090 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.5289 - val_mean_absolute_error: 0.5289 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5626 - val_mean_absolute_error: 0.5626 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5455 - val_mean_absolute_error: 0.5455 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4866 - mean_absolute_error: 0.4866 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5040 - mean_absolute_error: 0.5040 - val_loss: 0.6975 - val_mean_absolute_error: 0.6975 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4970 - mean_absolute_error: 0.4970 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5379 - val_mean_absolute_error: 0.5379 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5201 - val_mean_absolute_error: 0.5201 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5258 - val_mean_absolute_error: 0.5258 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5205 - val_mean_absolute_error: 0.5205 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.9633 - mean_absolute_error: 2.9633 - val_loss: 0.6475 - val_mean_absolute_error: 0.6475 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5582 - mean_absolute_error: 0.5582 - val_loss: 0.5619 - val_mean_absolute_error: 0.5619 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5263 - mean_absolute_error: 0.5263 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5132 - val_mean_absolute_error: 0.5132 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5011 - mean_absolute_error: 0.5011 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mean_absolute_error: 0.5056 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4962 - mean_absolute_error: 0.4962 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4913 - mean_absolute_error: 0.4913 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4892 - mean_absolute_error: 0.4892 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.3666 - mean_absolute_error: 5.3666 - val_loss: 5.2407 - val_mean_absolute_error: 5.2407 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1848 - mean_absolute_error: 5.1848 - val_loss: 5.1517 - val_mean_absolute_error: 5.1517 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1175 - mean_absolute_error: 5.1175 - val_loss: 5.1002 - val_mean_absolute_error: 5.1002 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0742 - mean_absolute_error: 5.0742 - val_loss: 5.0638 - val_mean_absolute_error: 5.0638 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0422 - mean_absolute_error: 5.0422 - val_loss: 5.0356 - val_mean_absolute_error: 5.0356 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0167 - mean_absolute_error: 5.0167 - val_loss: 5.0125 - val_mean_absolute_error: 5.0125 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9955 - mean_absolute_error: 4.9955 - val_loss: 4.9931 - val_mean_absolute_error: 4.9931 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9774 - mean_absolute_error: 4.9774 - val_loss: 4.9762 - val_mean_absolute_error: 4.9762 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9616 - mean_absolute_error: 4.9616 - val_loss: 4.9614 - val_mean_absolute_error: 4.9614 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9475 - mean_absolute_error: 4.9475 - val_loss: 4.9481 - val_mean_absolute_error: 4.9481 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9349 - mean_absolute_error: 4.9349 - val_loss: 4.9361 - val_mean_absolute_error: 4.9361 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9234 - mean_absolute_error: 4.9234 - val_loss: 4.9251 - val_mean_absolute_error: 4.9251 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9129 - mean_absolute_error: 4.9129 - val_loss: 4.9151 - val_mean_absolute_error: 4.9151 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9032 - mean_absolute_error: 4.9032 - val_loss: 4.9057 - val_mean_absolute_error: 4.9057 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8942 - mean_absolute_error: 4.8942 - val_loss: 4.8970 - val_mean_absolute_error: 4.8970 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8858 - mean_absolute_error: 4.8858 - val_loss: 4.8889 - val_mean_absolute_error: 4.8889 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8779 - mean_absolute_error: 4.8779 - val_loss: 4.8813 - val_mean_absolute_error: 4.8813 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8705 - mean_absolute_error: 4.8705 - val_loss: 4.8741 - val_mean_absolute_error: 4.8741 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8635 - mean_absolute_error: 4.8635 - val_loss: 4.8673 - val_mean_absolute_error: 4.8673 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8569 - mean_absolute_error: 4.8569 - val_loss: 4.8608 - val_mean_absolute_error: 4.8608 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8506 - mean_absolute_error: 4.8506 - val_loss: 4.8547 - val_mean_absolute_error: 4.8547 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8446 - mean_absolute_error: 4.8446 - val_loss: 4.8488 - val_mean_absolute_error: 4.8488 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8388 - mean_absolute_error: 4.8388 - val_loss: 4.8432 - val_mean_absolute_error: 4.8432 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8333 - mean_absolute_error: 4.8333 - val_loss: 4.8378 - val_mean_absolute_error: 4.8378 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8281 - mean_absolute_error: 4.8281 - val_loss: 4.8327 - val_mean_absolute_error: 4.8327 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8231 - mean_absolute_error: 4.8231 - val_loss: 4.8278 - val_mean_absolute_error: 4.8278 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8182 - mean_absolute_error: 4.8182 - val_loss: 4.8230 - val_mean_absolute_error: 4.8230 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8136 - mean_absolute_error: 4.8136 - val_loss: 4.8184 - val_mean_absolute_error: 4.8184 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8091 - mean_absolute_error: 4.8091 - val_loss: 4.8140 - val_mean_absolute_error: 4.8140 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8047 - mean_absolute_error: 4.8047 - val_loss: 4.8098 - val_mean_absolute_error: 4.8098 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8005 - mean_absolute_error: 4.8005 - val_loss: 4.8056 - val_mean_absolute_error: 4.8056 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7965 - mean_absolute_error: 4.7965 - val_loss: 4.8016 - val_mean_absolute_error: 4.8016 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7925 - mean_absolute_error: 4.7925 - val_loss: 4.7978 - val_mean_absolute_error: 4.7978 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7887 - mean_absolute_error: 4.7887 - val_loss: 4.7940 - val_mean_absolute_error: 4.7940 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7850 - mean_absolute_error: 4.7850 - val_loss: 4.7904 - val_mean_absolute_error: 4.7904 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7814 - mean_absolute_error: 4.7814 - val_loss: 4.7868 - val_mean_absolute_error: 4.7868 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7779 - mean_absolute_error: 4.7779 - val_loss: 4.7834 - val_mean_absolute_error: 4.7834 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7745 - mean_absolute_error: 4.7745 - val_loss: 4.7800 - val_mean_absolute_error: 4.7800 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7712 - mean_absolute_error: 4.7712 - val_loss: 4.7767 - val_mean_absolute_error: 4.7767 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7680 - mean_absolute_error: 4.7680 - val_loss: 4.7736 - val_mean_absolute_error: 4.7736 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7648 - mean_absolute_error: 4.7648 - val_loss: 4.7704 - val_mean_absolute_error: 4.7704 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7618 - mean_absolute_error: 4.7618 - val_loss: 4.7674 - val_mean_absolute_error: 4.7674 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7588 - mean_absolute_error: 4.7588 - val_loss: 4.7644 - val_mean_absolute_error: 4.7644 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7558 - mean_absolute_error: 4.7558 - val_loss: 4.7616 - val_mean_absolute_error: 4.7616 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7530 - mean_absolute_error: 4.7530 - val_loss: 4.7587 - val_mean_absolute_error: 4.7587 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7502 - mean_absolute_error: 4.7502 - val_loss: 4.7560 - val_mean_absolute_error: 4.7560 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7474 - mean_absolute_error: 4.7474 - val_loss: 4.7532 - val_mean_absolute_error: 4.7532 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7448 - mean_absolute_error: 4.7448 - val_loss: 4.7506 - val_mean_absolute_error: 4.7506 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7421 - mean_absolute_error: 4.7421 - val_loss: 4.7480 - val_mean_absolute_error: 4.7480 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7396 - mean_absolute_error: 4.7396 - val_loss: 4.7455 - val_mean_absolute_error: 4.7455 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.1794 - mean_absolute_error: 3.1794 - val_loss: 0.8313 - val_mean_absolute_error: 0.8313 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.5623 - val_mean_absolute_error: 0.5623 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5619 - mean_absolute_error: 0.5619 - val_loss: 0.5657 - val_mean_absolute_error: 0.5657 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5309 - mean_absolute_error: 0.5309 - val_loss: 0.5243 - val_mean_absolute_error: 0.5243 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.5832 - val_mean_absolute_error: 0.5832 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5508 - mean_absolute_error: 0.5508 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5542 - val_mean_absolute_error: 0.5542 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5067 - mean_absolute_error: 0.5067 - val_loss: 0.6249 - val_mean_absolute_error: 0.6249 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5048 - mean_absolute_error: 0.5048 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5103 - mean_absolute_error: 0.5103 - val_loss: 0.5819 - val_mean_absolute_error: 0.5819 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4964 - mean_absolute_error: 0.4964 - val_loss: 0.6026 - val_mean_absolute_error: 0.6026 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4980 - mean_absolute_error: 0.4980 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5245 - val_mean_absolute_error: 0.5245 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5079 - mean_absolute_error: 0.5079 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4939 - mean_absolute_error: 0.4939 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5481 - val_mean_absolute_error: 0.5481 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5327 - val_mean_absolute_error: 0.5327 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5419 - val_mean_absolute_error: 0.5419 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 1/50 35/35 [==============================] - 1s 17ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6415 - val_mean_absolute_error: 5.6415 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6332 - mean_absolute_error: 5.6332 - val_loss: 5.6373 - val_mean_absolute_error: 5.6373 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9978 - mean_absolute_error: 2.9978 - val_loss: 0.8295 - val_mean_absolute_error: 0.8295 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7201 - mean_absolute_error: 0.7201 - val_loss: 0.6461 - val_mean_absolute_error: 0.6461 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6010 - mean_absolute_error: 0.6010 - val_loss: 0.5962 - val_mean_absolute_error: 0.5962 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5599 - mean_absolute_error: 0.5599 - val_loss: 0.7711 - val_mean_absolute_error: 0.7711 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5434 - mean_absolute_error: 0.5434 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5573 - mean_absolute_error: 0.5573 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5300 - mean_absolute_error: 0.5300 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5234 - mean_absolute_error: 0.5234 - val_loss: 0.5726 - val_mean_absolute_error: 0.5726 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5162 - mean_absolute_error: 0.5162 - val_loss: 0.5556 - val_mean_absolute_error: 0.5556 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5753 - val_mean_absolute_error: 0.5753 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5127 - mean_absolute_error: 0.5127 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5040 - mean_absolute_error: 0.5040 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5243 - val_mean_absolute_error: 0.5243 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5232 - val_mean_absolute_error: 0.5232 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5527 - val_mean_absolute_error: 0.5527 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5356 - val_mean_absolute_error: 0.5356 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4580 - mean_absolute_error: 0.4580 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4579 - mean_absolute_error: 0.4579 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4412 - mean_absolute_error: 0.4412 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4524 - mean_absolute_error: 0.4524 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4568 - mean_absolute_error: 0.4568 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4414 - mean_absolute_error: 0.4414 - val_loss: 0.4851 - val_mean_absolute_error: 0.4851 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4554 - mean_absolute_error: 0.4554 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4506 - mean_absolute_error: 0.4506 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.4814 - val_mean_absolute_error: 0.4814 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.2568 - mean_absolute_error: 2.2568 - val_loss: 0.6588 - val_mean_absolute_error: 0.6588 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5720 - mean_absolute_error: 0.5720 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5623 - val_mean_absolute_error: 0.5623 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5298 - mean_absolute_error: 0.5298 - val_loss: 0.5557 - val_mean_absolute_error: 0.5557 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5504 - val_mean_absolute_error: 0.5504 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5459 - val_mean_absolute_error: 0.5459 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mean_absolute_error: 0.5056 - val_loss: 0.5422 - val_mean_absolute_error: 0.5422 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.5429 - val_mean_absolute_error: 0.5429 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4970 - mean_absolute_error: 0.4970 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5258 - val_mean_absolute_error: 0.5258 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4911 - mean_absolute_error: 0.4911 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4911 - mean_absolute_error: 0.4911 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5204 - val_mean_absolute_error: 0.5204 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5194 - val_mean_absolute_error: 0.5194 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mean_absolute_error: 0.4847 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5205 - val_mean_absolute_error: 0.5205 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.3972 - mean_absolute_error: 3.3972 - val_loss: 2.4173 - val_mean_absolute_error: 2.4173 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9684 - mean_absolute_error: 1.9684 - val_loss: 1.8884 - val_mean_absolute_error: 1.8884 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5878 - mean_absolute_error: 1.5878 - val_loss: 1.6435 - val_mean_absolute_error: 1.6435 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4054 - mean_absolute_error: 1.4054 - val_loss: 1.5080 - val_mean_absolute_error: 1.5080 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2958 - mean_absolute_error: 1.2958 - val_loss: 1.4189 - val_mean_absolute_error: 1.4189 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2229 - mean_absolute_error: 1.2229 - val_loss: 1.3538 - val_mean_absolute_error: 1.3538 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1689 - mean_absolute_error: 1.1689 - val_loss: 1.3050 - val_mean_absolute_error: 1.3050 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1286 - mean_absolute_error: 1.1286 - val_loss: 1.2665 - val_mean_absolute_error: 1.2665 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0960 - mean_absolute_error: 1.0960 - val_loss: 1.2347 - val_mean_absolute_error: 1.2347 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0688 - mean_absolute_error: 1.0688 - val_loss: 1.2085 - val_mean_absolute_error: 1.2085 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0458 - mean_absolute_error: 1.0458 - val_loss: 1.1864 - val_mean_absolute_error: 1.1864 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0262 - mean_absolute_error: 1.0262 - val_loss: 1.1666 - val_mean_absolute_error: 1.1666 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0093 - mean_absolute_error: 1.0093 - val_loss: 1.1492 - val_mean_absolute_error: 1.1492 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9943 - mean_absolute_error: 0.9943 - val_loss: 1.1338 - val_mean_absolute_error: 1.1338 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9810 - mean_absolute_error: 0.9810 - val_loss: 1.1199 - val_mean_absolute_error: 1.1199 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9695 - mean_absolute_error: 0.9695 - val_loss: 1.1074 - val_mean_absolute_error: 1.1074 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9590 - mean_absolute_error: 0.9590 - val_loss: 1.0958 - val_mean_absolute_error: 1.0958 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9494 - mean_absolute_error: 0.9494 - val_loss: 1.0850 - val_mean_absolute_error: 1.0850 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9405 - mean_absolute_error: 0.9405 - val_loss: 1.0752 - val_mean_absolute_error: 1.0752 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9323 - mean_absolute_error: 0.9323 - val_loss: 1.0660 - val_mean_absolute_error: 1.0660 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9248 - mean_absolute_error: 0.9248 - val_loss: 1.0575 - val_mean_absolute_error: 1.0575 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9177 - mean_absolute_error: 0.9177 - val_loss: 1.0494 - val_mean_absolute_error: 1.0494 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9112 - mean_absolute_error: 0.9112 - val_loss: 1.0417 - val_mean_absolute_error: 1.0417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9053 - mean_absolute_error: 0.9053 - val_loss: 1.0346 - val_mean_absolute_error: 1.0346 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8998 - mean_absolute_error: 0.8998 - val_loss: 1.0280 - val_mean_absolute_error: 1.0280 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8946 - mean_absolute_error: 0.8946 - val_loss: 1.0217 - val_mean_absolute_error: 1.0217 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8898 - mean_absolute_error: 0.8898 - val_loss: 1.0157 - val_mean_absolute_error: 1.0157 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8853 - mean_absolute_error: 0.8853 - val_loss: 1.0101 - val_mean_absolute_error: 1.0101 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8811 - mean_absolute_error: 0.8811 - val_loss: 1.0049 - val_mean_absolute_error: 1.0049 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8772 - mean_absolute_error: 0.8772 - val_loss: 0.9998 - val_mean_absolute_error: 0.9998 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8735 - mean_absolute_error: 0.8735 - val_loss: 0.9950 - val_mean_absolute_error: 0.9950 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8698 - mean_absolute_error: 0.8698 - val_loss: 0.9902 - val_mean_absolute_error: 0.9902 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8664 - mean_absolute_error: 0.8664 - val_loss: 0.9857 - val_mean_absolute_error: 0.9857 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8631 - mean_absolute_error: 0.8631 - val_loss: 0.9814 - val_mean_absolute_error: 0.9814 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8600 - mean_absolute_error: 0.8600 - val_loss: 0.9774 - val_mean_absolute_error: 0.9774 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8570 - mean_absolute_error: 0.8570 - val_loss: 0.9734 - val_mean_absolute_error: 0.9734 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8542 - mean_absolute_error: 0.8542 - val_loss: 0.9697 - val_mean_absolute_error: 0.9697 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8515 - mean_absolute_error: 0.8515 - val_loss: 0.9662 - val_mean_absolute_error: 0.9662 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8489 - mean_absolute_error: 0.8489 - val_loss: 0.9627 - val_mean_absolute_error: 0.9627 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8463 - mean_absolute_error: 0.8463 - val_loss: 0.9593 - val_mean_absolute_error: 0.9593 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8439 - mean_absolute_error: 0.8439 - val_loss: 0.9561 - val_mean_absolute_error: 0.9561 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8415 - mean_absolute_error: 0.8415 - val_loss: 0.9529 - val_mean_absolute_error: 0.9529 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8393 - mean_absolute_error: 0.8393 - val_loss: 0.9499 - val_mean_absolute_error: 0.9499 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8371 - mean_absolute_error: 0.8371 - val_loss: 0.9469 - val_mean_absolute_error: 0.9469 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8350 - mean_absolute_error: 0.8350 - val_loss: 0.9441 - val_mean_absolute_error: 0.9441 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8330 - mean_absolute_error: 0.8330 - val_loss: 0.9414 - val_mean_absolute_error: 0.9414 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8311 - mean_absolute_error: 0.8311 - val_loss: 0.9389 - val_mean_absolute_error: 0.9389 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8293 - mean_absolute_error: 0.8293 - val_loss: 0.9364 - val_mean_absolute_error: 0.9364 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8276 - mean_absolute_error: 0.8276 - val_loss: 0.9340 - val_mean_absolute_error: 0.9340 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8259 - mean_absolute_error: 0.8259 - val_loss: 0.9316 - val_mean_absolute_error: 0.9316 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4060 - mean_absolute_error: 1.4060 - val_loss: 0.7793 - val_mean_absolute_error: 0.7793 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6752 - mean_absolute_error: 0.6752 - val_loss: 0.6742 - val_mean_absolute_error: 0.6742 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5716 - mean_absolute_error: 0.5716 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5419 - mean_absolute_error: 0.5419 - val_loss: 0.5668 - val_mean_absolute_error: 0.5668 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5493 - mean_absolute_error: 0.5493 - val_loss: 0.5533 - val_mean_absolute_error: 0.5533 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.6329 - val_mean_absolute_error: 0.6329 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5771 - val_mean_absolute_error: 0.5771 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5441 - val_mean_absolute_error: 0.5441 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mean_absolute_error: 0.4917 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4884 - mean_absolute_error: 0.4884 - val_loss: 0.4877 - val_mean_absolute_error: 0.4877 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.4697 - val_mean_absolute_error: 0.4697 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.4786 - val_mean_absolute_error: 0.4786 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4801 - val_mean_absolute_error: 0.4801 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4586 - mean_absolute_error: 0.4586 - val_loss: 0.4834 - val_mean_absolute_error: 0.4834 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4706 - val_mean_absolute_error: 0.4706 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4851 - val_mean_absolute_error: 0.4851 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5462 - val_mean_absolute_error: 0.5462 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4532 - mean_absolute_error: 0.4532 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4804 - val_mean_absolute_error: 0.4804 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4571 - mean_absolute_error: 0.4571 - val_loss: 0.4848 - val_mean_absolute_error: 0.4848 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4705 - mean_absolute_error: 0.4705 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.4771 - val_mean_absolute_error: 0.4771 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5252 - val_mean_absolute_error: 0.5252 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5782 - val_mean_absolute_error: 0.5782 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6269 - mean_absolute_error: 1.6269 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6032 - mean_absolute_error: 0.6032 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5552 - mean_absolute_error: 0.5552 - val_loss: 0.5601 - val_mean_absolute_error: 0.5601 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5665 - val_mean_absolute_error: 0.5665 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.4784 - val_mean_absolute_error: 0.4784 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4830 - val_mean_absolute_error: 0.4830 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4704 - val_mean_absolute_error: 0.4704 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mean_absolute_error: 0.4595 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.4800 - val_mean_absolute_error: 0.4800 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.4667 - val_mean_absolute_error: 0.4667 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.4844 - val_mean_absolute_error: 0.4844 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4660 - val_mean_absolute_error: 0.4660 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4514 - mean_absolute_error: 0.4514 - val_loss: 0.4673 - val_mean_absolute_error: 0.4673 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.4777 - val_mean_absolute_error: 0.4777 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.4664 - val_mean_absolute_error: 0.4664 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4675 - val_mean_absolute_error: 0.4675 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4518 - mean_absolute_error: 0.4518 - val_loss: 0.4694 - val_mean_absolute_error: 0.4694 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4489 - mean_absolute_error: 0.4489 - val_loss: 0.4632 - val_mean_absolute_error: 0.4632 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.4664 - val_mean_absolute_error: 0.4664 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4588 - mean_absolute_error: 0.4588 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4525 - mean_absolute_error: 0.4525 - val_loss: 0.4690 - val_mean_absolute_error: 0.4690 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4512 - mean_absolute_error: 0.4512 - val_loss: 0.4725 - val_mean_absolute_error: 0.4725 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4479 - mean_absolute_error: 0.4479 - val_loss: 0.4610 - val_mean_absolute_error: 0.4610 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4796 - val_mean_absolute_error: 0.4796 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4668 - val_mean_absolute_error: 0.4668 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4474 - mean_absolute_error: 0.4474 - val_loss: 0.4682 - val_mean_absolute_error: 0.4682 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4497 - mean_absolute_error: 0.4497 - val_loss: 0.4631 - val_mean_absolute_error: 0.4631 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4471 - mean_absolute_error: 0.4471 - val_loss: 0.4621 - val_mean_absolute_error: 0.4621 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4500 - mean_absolute_error: 0.4500 - val_loss: 0.4628 - val_mean_absolute_error: 0.4628 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4708 - val_mean_absolute_error: 0.4708 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4440 - mean_absolute_error: 0.4440 - val_loss: 0.4599 - val_mean_absolute_error: 0.4599 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4453 - mean_absolute_error: 0.4453 - val_loss: 0.4661 - val_mean_absolute_error: 0.4661 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4420 - mean_absolute_error: 0.4420 - val_loss: 0.4607 - val_mean_absolute_error: 0.4607 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4448 - mean_absolute_error: 0.4448 - val_loss: 0.4653 - val_mean_absolute_error: 0.4653 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.4599 - val_mean_absolute_error: 0.4599 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4688 - val_mean_absolute_error: 0.4688 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4459 - mean_absolute_error: 0.4459 - val_loss: 0.4589 - val_mean_absolute_error: 0.4589 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.4613 - val_mean_absolute_error: 0.4613 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4423 - mean_absolute_error: 0.4423 - val_loss: 0.4586 - val_mean_absolute_error: 0.4586 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4409 - mean_absolute_error: 0.4409 - val_loss: 0.4630 - val_mean_absolute_error: 0.4630 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4428 - mean_absolute_error: 0.4428 - val_loss: 0.4621 - val_mean_absolute_error: 0.4621 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.5188 - mean_absolute_error: 1.5188 - val_loss: 0.7887 - val_mean_absolute_error: 0.7887 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7162 - mean_absolute_error: 0.7162 - val_loss: 0.6684 - val_mean_absolute_error: 0.6684 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6482 - mean_absolute_error: 0.6482 - val_loss: 0.6396 - val_mean_absolute_error: 0.6396 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6177 - mean_absolute_error: 0.6177 - val_loss: 0.6242 - val_mean_absolute_error: 0.6242 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6006 - mean_absolute_error: 0.6006 - val_loss: 0.6130 - val_mean_absolute_error: 0.6130 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5902 - mean_absolute_error: 0.5902 - val_loss: 0.6072 - val_mean_absolute_error: 0.6072 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5824 - mean_absolute_error: 0.5824 - val_loss: 0.6015 - val_mean_absolute_error: 0.6015 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5770 - mean_absolute_error: 0.5770 - val_loss: 0.5975 - val_mean_absolute_error: 0.5975 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5726 - mean_absolute_error: 0.5726 - val_loss: 0.5945 - val_mean_absolute_error: 0.5945 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5692 - mean_absolute_error: 0.5692 - val_loss: 0.5917 - val_mean_absolute_error: 0.5917 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5657 - mean_absolute_error: 0.5657 - val_loss: 0.5891 - val_mean_absolute_error: 0.5891 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5633 - mean_absolute_error: 0.5633 - val_loss: 0.5870 - val_mean_absolute_error: 0.5870 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5614 - mean_absolute_error: 0.5614 - val_loss: 0.5853 - val_mean_absolute_error: 0.5853 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5591 - mean_absolute_error: 0.5591 - val_loss: 0.5836 - val_mean_absolute_error: 0.5836 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5574 - mean_absolute_error: 0.5574 - val_loss: 0.5822 - val_mean_absolute_error: 0.5822 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5560 - mean_absolute_error: 0.5560 - val_loss: 0.5810 - val_mean_absolute_error: 0.5810 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5799 - val_mean_absolute_error: 0.5799 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5535 - mean_absolute_error: 0.5535 - val_loss: 0.5796 - val_mean_absolute_error: 0.5796 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5524 - mean_absolute_error: 0.5524 - val_loss: 0.5783 - val_mean_absolute_error: 0.5783 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5516 - mean_absolute_error: 0.5516 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5509 - mean_absolute_error: 0.5509 - val_loss: 0.5771 - val_mean_absolute_error: 0.5771 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5496 - mean_absolute_error: 0.5496 - val_loss: 0.5760 - val_mean_absolute_error: 0.5760 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5490 - mean_absolute_error: 0.5490 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5482 - mean_absolute_error: 0.5482 - val_loss: 0.5748 - val_mean_absolute_error: 0.5748 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5474 - mean_absolute_error: 0.5474 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5468 - mean_absolute_error: 0.5468 - val_loss: 0.5737 - val_mean_absolute_error: 0.5737 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5464 - mean_absolute_error: 0.5464 - val_loss: 0.5727 - val_mean_absolute_error: 0.5727 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5455 - mean_absolute_error: 0.5455 - val_loss: 0.5726 - val_mean_absolute_error: 0.5726 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5450 - mean_absolute_error: 0.5450 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5446 - mean_absolute_error: 0.5446 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5441 - mean_absolute_error: 0.5441 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5435 - mean_absolute_error: 0.5435 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5431 - mean_absolute_error: 0.5431 - val_loss: 0.5701 - val_mean_absolute_error: 0.5701 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5426 - mean_absolute_error: 0.5426 - val_loss: 0.5700 - val_mean_absolute_error: 0.5700 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5699 - val_mean_absolute_error: 0.5699 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5417 - mean_absolute_error: 0.5417 - val_loss: 0.5688 - val_mean_absolute_error: 0.5688 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5413 - mean_absolute_error: 0.5413 - val_loss: 0.5687 - val_mean_absolute_error: 0.5687 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5409 - mean_absolute_error: 0.5409 - val_loss: 0.5681 - val_mean_absolute_error: 0.5681 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5405 - mean_absolute_error: 0.5405 - val_loss: 0.5680 - val_mean_absolute_error: 0.5680 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5403 - mean_absolute_error: 0.5403 - val_loss: 0.5676 - val_mean_absolute_error: 0.5676 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5674 - val_mean_absolute_error: 0.5674 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5394 - mean_absolute_error: 0.5394 - val_loss: 0.5670 - val_mean_absolute_error: 0.5670 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5392 - mean_absolute_error: 0.5392 - val_loss: 0.5666 - val_mean_absolute_error: 0.5666 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5388 - mean_absolute_error: 0.5388 - val_loss: 0.5664 - val_mean_absolute_error: 0.5664 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5661 - val_mean_absolute_error: 0.5661 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5381 - mean_absolute_error: 0.5381 - val_loss: 0.5657 - val_mean_absolute_error: 0.5657 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5378 - mean_absolute_error: 0.5378 - val_loss: 0.5655 - val_mean_absolute_error: 0.5655 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5375 - mean_absolute_error: 0.5375 - val_loss: 0.5651 - val_mean_absolute_error: 0.5651 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5373 - mean_absolute_error: 0.5373 - val_loss: 0.5649 - val_mean_absolute_error: 0.5649 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5370 - mean_absolute_error: 0.5370 - val_loss: 0.5645 - val_mean_absolute_error: 0.5645 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.1717 - mean_absolute_error: 1.1717 - val_loss: 0.5950 - val_mean_absolute_error: 0.5950 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6076 - mean_absolute_error: 0.6076 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5637 - mean_absolute_error: 0.5637 - val_loss: 0.7009 - val_mean_absolute_error: 0.7009 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5504 - mean_absolute_error: 0.5504 - val_loss: 0.5664 - val_mean_absolute_error: 0.5664 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5681 - mean_absolute_error: 0.5681 - val_loss: 0.5777 - val_mean_absolute_error: 0.5777 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5456 - mean_absolute_error: 0.5456 - val_loss: 0.5519 - val_mean_absolute_error: 0.5519 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5376 - mean_absolute_error: 0.5376 - val_loss: 0.5636 - val_mean_absolute_error: 0.5636 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5489 - mean_absolute_error: 0.5489 - val_loss: 0.6173 - val_mean_absolute_error: 0.6173 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5449 - mean_absolute_error: 0.5449 - val_loss: 0.5416 - val_mean_absolute_error: 0.5416 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.5992 - val_mean_absolute_error: 0.5992 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5476 - val_mean_absolute_error: 0.5476 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5125 - mean_absolute_error: 0.5125 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5762 - val_mean_absolute_error: 0.5762 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.5930 - val_mean_absolute_error: 0.5930 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4913 - mean_absolute_error: 0.4913 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.5379 - val_mean_absolute_error: 0.5379 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.5506 - val_mean_absolute_error: 0.5506 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5466 - val_mean_absolute_error: 0.5466 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5541 - val_mean_absolute_error: 0.5541 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5351 - val_mean_absolute_error: 0.5351 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5512 - val_mean_absolute_error: 0.5512 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4583 - mean_absolute_error: 0.4583 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4628 - mean_absolute_error: 0.4628 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4433 - mean_absolute_error: 0.4433 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5621 - val_mean_absolute_error: 0.5621 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4522 - mean_absolute_error: 0.4522 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4479 - mean_absolute_error: 0.4479 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4551 - mean_absolute_error: 0.4551 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4428 - mean_absolute_error: 0.4428 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4431 - mean_absolute_error: 0.4431 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.9973 - mean_absolute_error: 1.9973 - val_loss: 0.5451 - val_mean_absolute_error: 0.5451 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5370 - mean_absolute_error: 0.5370 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.5820 - val_mean_absolute_error: 0.5820 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5082 - mean_absolute_error: 0.5082 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.4816 - val_mean_absolute_error: 0.4816 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4821 - val_mean_absolute_error: 0.4821 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4632 - mean_absolute_error: 0.4632 - val_loss: 0.4779 - val_mean_absolute_error: 0.4779 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4631 - mean_absolute_error: 0.4631 - val_loss: 0.4834 - val_mean_absolute_error: 0.4834 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4632 - mean_absolute_error: 0.4632 - val_loss: 0.4785 - val_mean_absolute_error: 0.4785 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.4759 - val_mean_absolute_error: 0.4759 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4608 - mean_absolute_error: 0.4608 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4604 - mean_absolute_error: 0.4604 - val_loss: 0.4746 - val_mean_absolute_error: 0.4746 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4757 - val_mean_absolute_error: 0.4757 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.4765 - val_mean_absolute_error: 0.4765 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.4735 - val_mean_absolute_error: 0.4735 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4568 - mean_absolute_error: 0.4568 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.4761 - val_mean_absolute_error: 0.4761 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.4759 - val_mean_absolute_error: 0.4759 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4744 - val_mean_absolute_error: 0.4744 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.4758 - val_mean_absolute_error: 0.4758 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4737 - val_mean_absolute_error: 0.4737 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.4746 - val_mean_absolute_error: 0.4746 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4555 - mean_absolute_error: 0.4555 - val_loss: 0.4719 - val_mean_absolute_error: 0.4719 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4550 - mean_absolute_error: 0.4550 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4551 - mean_absolute_error: 0.4551 - val_loss: 0.4740 - val_mean_absolute_error: 0.4740 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4535 - mean_absolute_error: 0.4535 - val_loss: 0.4726 - val_mean_absolute_error: 0.4726 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4550 - mean_absolute_error: 0.4550 - val_loss: 0.4816 - val_mean_absolute_error: 0.4816 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4541 - mean_absolute_error: 0.4541 - val_loss: 0.4725 - val_mean_absolute_error: 0.4725 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4536 - mean_absolute_error: 0.4536 - val_loss: 0.4719 - val_mean_absolute_error: 0.4719 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4539 - mean_absolute_error: 0.4539 - val_loss: 0.4725 - val_mean_absolute_error: 0.4725 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mean_absolute_error: 0.4533 - val_loss: 0.4717 - val_mean_absolute_error: 0.4717 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.7103 - mean_absolute_error: 1.7103 - val_loss: 0.9357 - val_mean_absolute_error: 0.9357 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8573 - mean_absolute_error: 0.8573 - val_loss: 0.8037 - val_mean_absolute_error: 0.8037 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7670 - mean_absolute_error: 0.7670 - val_loss: 0.7481 - val_mean_absolute_error: 0.7481 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7199 - mean_absolute_error: 0.7199 - val_loss: 0.7154 - val_mean_absolute_error: 0.7154 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6897 - mean_absolute_error: 0.6897 - val_loss: 0.6937 - val_mean_absolute_error: 0.6937 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6689 - mean_absolute_error: 0.6689 - val_loss: 0.6768 - val_mean_absolute_error: 0.6768 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6533 - mean_absolute_error: 0.6533 - val_loss: 0.6646 - val_mean_absolute_error: 0.6646 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6406 - mean_absolute_error: 0.6406 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6303 - mean_absolute_error: 0.6303 - val_loss: 0.6470 - val_mean_absolute_error: 0.6470 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6222 - mean_absolute_error: 0.6222 - val_loss: 0.6401 - val_mean_absolute_error: 0.6401 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6153 - mean_absolute_error: 0.6153 - val_loss: 0.6340 - val_mean_absolute_error: 0.6340 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6090 - mean_absolute_error: 0.6090 - val_loss: 0.6290 - val_mean_absolute_error: 0.6290 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6037 - mean_absolute_error: 0.6037 - val_loss: 0.6246 - val_mean_absolute_error: 0.6246 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5987 - mean_absolute_error: 0.5987 - val_loss: 0.6211 - val_mean_absolute_error: 0.6211 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5942 - mean_absolute_error: 0.5942 - val_loss: 0.6175 - val_mean_absolute_error: 0.6175 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5901 - mean_absolute_error: 0.5901 - val_loss: 0.6146 - val_mean_absolute_error: 0.6146 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5865 - mean_absolute_error: 0.5865 - val_loss: 0.6118 - val_mean_absolute_error: 0.6118 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5833 - mean_absolute_error: 0.5833 - val_loss: 0.6095 - val_mean_absolute_error: 0.6095 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5805 - mean_absolute_error: 0.5805 - val_loss: 0.6073 - val_mean_absolute_error: 0.6073 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5779 - mean_absolute_error: 0.5779 - val_loss: 0.6053 - val_mean_absolute_error: 0.6053 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5757 - mean_absolute_error: 0.5757 - val_loss: 0.6038 - val_mean_absolute_error: 0.6038 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5736 - mean_absolute_error: 0.5736 - val_loss: 0.6023 - val_mean_absolute_error: 0.6023 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5717 - mean_absolute_error: 0.5717 - val_loss: 0.6009 - val_mean_absolute_error: 0.6009 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5700 - mean_absolute_error: 0.5700 - val_loss: 0.5996 - val_mean_absolute_error: 0.5996 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5685 - mean_absolute_error: 0.5685 - val_loss: 0.5984 - val_mean_absolute_error: 0.5984 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5672 - mean_absolute_error: 0.5672 - val_loss: 0.5973 - val_mean_absolute_error: 0.5973 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5658 - mean_absolute_error: 0.5658 - val_loss: 0.5962 - val_mean_absolute_error: 0.5962 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5645 - mean_absolute_error: 0.5645 - val_loss: 0.5953 - val_mean_absolute_error: 0.5953 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5633 - mean_absolute_error: 0.5633 - val_loss: 0.5943 - val_mean_absolute_error: 0.5943 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5623 - mean_absolute_error: 0.5623 - val_loss: 0.5934 - val_mean_absolute_error: 0.5934 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5613 - mean_absolute_error: 0.5613 - val_loss: 0.5925 - val_mean_absolute_error: 0.5925 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5603 - mean_absolute_error: 0.5603 - val_loss: 0.5917 - val_mean_absolute_error: 0.5917 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5594 - mean_absolute_error: 0.5594 - val_loss: 0.5909 - val_mean_absolute_error: 0.5909 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5585 - mean_absolute_error: 0.5585 - val_loss: 0.5901 - val_mean_absolute_error: 0.5901 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5576 - mean_absolute_error: 0.5576 - val_loss: 0.5893 - val_mean_absolute_error: 0.5893 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5569 - mean_absolute_error: 0.5569 - val_loss: 0.5885 - val_mean_absolute_error: 0.5885 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5560 - mean_absolute_error: 0.5560 - val_loss: 0.5879 - val_mean_absolute_error: 0.5879 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5552 - mean_absolute_error: 0.5552 - val_loss: 0.5873 - val_mean_absolute_error: 0.5873 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5545 - mean_absolute_error: 0.5545 - val_loss: 0.5866 - val_mean_absolute_error: 0.5866 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5538 - mean_absolute_error: 0.5538 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5531 - mean_absolute_error: 0.5531 - val_loss: 0.5854 - val_mean_absolute_error: 0.5854 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5525 - mean_absolute_error: 0.5525 - val_loss: 0.5849 - val_mean_absolute_error: 0.5849 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5519 - mean_absolute_error: 0.5519 - val_loss: 0.5842 - val_mean_absolute_error: 0.5842 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5513 - mean_absolute_error: 0.5513 - val_loss: 0.5836 - val_mean_absolute_error: 0.5836 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5508 - mean_absolute_error: 0.5508 - val_loss: 0.5831 - val_mean_absolute_error: 0.5831 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5503 - mean_absolute_error: 0.5503 - val_loss: 0.5826 - val_mean_absolute_error: 0.5826 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5498 - mean_absolute_error: 0.5498 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5492 - mean_absolute_error: 0.5492 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5488 - mean_absolute_error: 0.5488 - val_loss: 0.5812 - val_mean_absolute_error: 0.5812 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5483 - mean_absolute_error: 0.5483 - val_loss: 0.5808 - val_mean_absolute_error: 0.5808 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.5912 - mean_absolute_error: 1.5912 - val_loss: 0.5698 - val_mean_absolute_error: 0.5698 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6394 - mean_absolute_error: 0.6394 - val_loss: 0.5527 - val_mean_absolute_error: 0.5527 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5888 - mean_absolute_error: 0.5888 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5876 - mean_absolute_error: 0.5876 - val_loss: 0.6038 - val_mean_absolute_error: 0.6038 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5471 - mean_absolute_error: 0.5471 - val_loss: 0.5823 - val_mean_absolute_error: 0.5823 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5798 - mean_absolute_error: 0.5798 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5708 - mean_absolute_error: 0.5708 - val_loss: 0.5603 - val_mean_absolute_error: 0.5603 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5405 - mean_absolute_error: 0.5405 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5255 - mean_absolute_error: 0.5255 - val_loss: 0.5604 - val_mean_absolute_error: 0.5604 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4973 - mean_absolute_error: 0.4973 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4889 - mean_absolute_error: 0.4889 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5076 - mean_absolute_error: 0.5076 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.4784 - val_mean_absolute_error: 0.4784 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.6021 - val_mean_absolute_error: 0.6021 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5411 - val_mean_absolute_error: 0.5411 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.5877 - val_mean_absolute_error: 0.5877 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.5759 - val_mean_absolute_error: 0.5759 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.4459 - mean_absolute_error: 3.4459 - val_loss: 0.6286 - val_mean_absolute_error: 0.6286 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5498 - mean_absolute_error: 0.5498 - val_loss: 0.5518 - val_mean_absolute_error: 0.5518 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5079 - mean_absolute_error: 0.5079 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5066 - mean_absolute_error: 0.5066 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5023 - mean_absolute_error: 0.5023 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4635 - mean_absolute_error: 0.4635 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4617 - mean_absolute_error: 0.4617 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5490 - val_mean_absolute_error: 0.5490 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.5397 - val_mean_absolute_error: 0.5397 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4528 - mean_absolute_error: 0.4528 - val_loss: 0.4779 - val_mean_absolute_error: 0.4779 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4547 - mean_absolute_error: 0.4547 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4505 - mean_absolute_error: 0.4505 - val_loss: 0.4893 - val_mean_absolute_error: 0.4893 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4450 - mean_absolute_error: 0.4450 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4511 - mean_absolute_error: 0.4511 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4539 - mean_absolute_error: 0.4539 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4427 - mean_absolute_error: 0.4427 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4478 - mean_absolute_error: 0.4478 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4437 - mean_absolute_error: 0.4437 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4431 - mean_absolute_error: 0.4431 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4366 - mean_absolute_error: 0.4366 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.5809 - mean_absolute_error: 1.5809 - val_loss: 0.6942 - val_mean_absolute_error: 0.6942 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6830 - mean_absolute_error: 0.6830 - val_loss: 0.7164 - val_mean_absolute_error: 0.7164 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6564 - val_mean_absolute_error: 0.6564 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7008 - mean_absolute_error: 0.7008 - val_loss: 0.7175 - val_mean_absolute_error: 0.7175 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7466 - mean_absolute_error: 0.7466 - val_loss: 0.7315 - val_mean_absolute_error: 0.7315 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7123 - mean_absolute_error: 0.7123 - val_loss: 0.6591 - val_mean_absolute_error: 0.6591 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6844 - mean_absolute_error: 0.6844 - val_loss: 0.6672 - val_mean_absolute_error: 0.6672 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.7172 - val_mean_absolute_error: 0.7172 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7126 - mean_absolute_error: 0.7126 - val_loss: 0.7088 - val_mean_absolute_error: 0.7088 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.7046 - val_mean_absolute_error: 0.7046 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7031 - mean_absolute_error: 0.7031 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7288 - mean_absolute_error: 0.7288 - val_loss: 0.6594 - val_mean_absolute_error: 0.6594 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6794 - mean_absolute_error: 0.6794 - val_loss: 0.7071 - val_mean_absolute_error: 0.7071 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6898 - mean_absolute_error: 0.6898 - val_loss: 0.6747 - val_mean_absolute_error: 0.6747 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6939 - mean_absolute_error: 0.6939 - val_loss: 0.6606 - val_mean_absolute_error: 0.6606 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6993 - mean_absolute_error: 0.6993 - val_loss: 0.7397 - val_mean_absolute_error: 0.7397 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6996 - mean_absolute_error: 0.6996 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.8279 - val_mean_absolute_error: 0.8279 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.7376 - val_mean_absolute_error: 0.7376 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7073 - mean_absolute_error: 0.7073 - val_loss: 0.6912 - val_mean_absolute_error: 0.6912 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7259 - mean_absolute_error: 0.7259 - val_loss: 0.7792 - val_mean_absolute_error: 0.7792 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7277 - mean_absolute_error: 0.7277 - val_loss: 0.7059 - val_mean_absolute_error: 0.7059 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6900 - mean_absolute_error: 0.6900 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7021 - mean_absolute_error: 0.7021 - val_loss: 0.6668 - val_mean_absolute_error: 0.6668 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6967 - mean_absolute_error: 0.6967 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6714 - val_mean_absolute_error: 0.6714 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.6745 - val_mean_absolute_error: 0.6745 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7105 - mean_absolute_error: 0.7105 - val_loss: 0.6824 - val_mean_absolute_error: 0.6824 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7309 - mean_absolute_error: 0.7309 - val_loss: 0.6940 - val_mean_absolute_error: 0.6940 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7006 - mean_absolute_error: 0.7006 - val_loss: 0.6701 - val_mean_absolute_error: 0.6701 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6984 - mean_absolute_error: 0.6984 - val_loss: 0.6949 - val_mean_absolute_error: 0.6949 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7153 - mean_absolute_error: 0.7153 - val_loss: 0.7212 - val_mean_absolute_error: 0.7212 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7094 - mean_absolute_error: 0.7094 - val_loss: 0.7800 - val_mean_absolute_error: 0.7800 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.8038 - val_mean_absolute_error: 0.8038 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7234 - mean_absolute_error: 0.7234 - val_loss: 0.7287 - val_mean_absolute_error: 0.7287 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7191 - mean_absolute_error: 0.7191 - val_loss: 0.7228 - val_mean_absolute_error: 0.7228 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7106 - mean_absolute_error: 0.7106 - val_loss: 0.7000 - val_mean_absolute_error: 0.7000 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.8395 - val_mean_absolute_error: 0.8395 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6934 - mean_absolute_error: 0.6934 - val_loss: 0.7348 - val_mean_absolute_error: 0.7348 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7018 - mean_absolute_error: 0.7018 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6949 - mean_absolute_error: 0.6949 - val_loss: 0.6953 - val_mean_absolute_error: 0.6953 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7002 - mean_absolute_error: 0.7002 - val_loss: 0.7277 - val_mean_absolute_error: 0.7277 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6900 - mean_absolute_error: 0.6900 - val_loss: 0.6907 - val_mean_absolute_error: 0.6907 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7142 - mean_absolute_error: 0.7142 - val_loss: 0.8564 - val_mean_absolute_error: 0.8564 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7092 - mean_absolute_error: 0.7092 - val_loss: 0.6873 - val_mean_absolute_error: 0.6873 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6997 - mean_absolute_error: 0.6997 - val_loss: 0.6939 - val_mean_absolute_error: 0.6939 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7085 - mean_absolute_error: 0.7085 - val_loss: 0.6841 - val_mean_absolute_error: 0.6841 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7113 - mean_absolute_error: 0.7113 - val_loss: 0.6933 - val_mean_absolute_error: 0.6933 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6907 - mean_absolute_error: 0.6907 - val_loss: 0.6755 - val_mean_absolute_error: 0.6755 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3954 - mean_absolute_error: 1.3954 - val_loss: 0.6856 - val_mean_absolute_error: 0.6856 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6598 - val_mean_absolute_error: 0.6598 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6576 - val_mean_absolute_error: 0.6576 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6573 - val_mean_absolute_error: 0.6573 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6613 - mean_absolute_error: 0.6613 - val_loss: 0.6570 - val_mean_absolute_error: 0.6570 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6608 - mean_absolute_error: 0.6608 - val_loss: 0.6567 - val_mean_absolute_error: 0.6567 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6602 - mean_absolute_error: 0.6602 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6604 - mean_absolute_error: 0.6604 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6591 - mean_absolute_error: 0.6591 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6591 - mean_absolute_error: 0.6591 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6585 - mean_absolute_error: 0.6585 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6577 - mean_absolute_error: 0.6577 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6572 - mean_absolute_error: 0.6572 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6569 - mean_absolute_error: 0.6569 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6569 - mean_absolute_error: 0.6569 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6564 - mean_absolute_error: 0.6564 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6557 - mean_absolute_error: 0.6557 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6554 - mean_absolute_error: 0.6554 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6551 - mean_absolute_error: 0.6551 - val_loss: 0.6546 - val_mean_absolute_error: 0.6546 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6549 - mean_absolute_error: 0.6549 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6542 - mean_absolute_error: 0.6542 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6539 - mean_absolute_error: 0.6539 - val_loss: 0.6543 - val_mean_absolute_error: 0.6543 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6536 - mean_absolute_error: 0.6536 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6533 - mean_absolute_error: 0.6533 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6530 - mean_absolute_error: 0.6530 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6527 - mean_absolute_error: 0.6527 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6525 - mean_absolute_error: 0.6525 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6522 - mean_absolute_error: 0.6522 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6521 - mean_absolute_error: 0.6521 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6516 - mean_absolute_error: 0.6516 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6513 - mean_absolute_error: 0.6513 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6512 - mean_absolute_error: 0.6512 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6508 - mean_absolute_error: 0.6508 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6506 - mean_absolute_error: 0.6506 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6504 - mean_absolute_error: 0.6504 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6501 - mean_absolute_error: 0.6501 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6499 - mean_absolute_error: 0.6499 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6496 - mean_absolute_error: 0.6496 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6494 - mean_absolute_error: 0.6494 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6491 - mean_absolute_error: 0.6491 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6489 - mean_absolute_error: 0.6489 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6488 - mean_absolute_error: 0.6488 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6484 - mean_absolute_error: 0.6484 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6482 - mean_absolute_error: 0.6482 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6480 - mean_absolute_error: 0.6480 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6477 - mean_absolute_error: 0.6477 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6476 - mean_absolute_error: 0.6476 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6473 - mean_absolute_error: 0.6473 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6472 - mean_absolute_error: 0.6472 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4145 - mean_absolute_error: 1.4145 - val_loss: 0.6899 - val_mean_absolute_error: 0.6899 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6838 - mean_absolute_error: 0.6838 - val_loss: 0.7836 - val_mean_absolute_error: 0.7836 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6864 - mean_absolute_error: 0.6864 - val_loss: 0.6853 - val_mean_absolute_error: 0.6853 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6701 - mean_absolute_error: 0.6701 - val_loss: 0.7246 - val_mean_absolute_error: 0.7246 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.7149 - val_mean_absolute_error: 0.7149 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7008 - mean_absolute_error: 0.7008 - val_loss: 0.6646 - val_mean_absolute_error: 0.6646 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6928 - mean_absolute_error: 0.6928 - val_loss: 0.6798 - val_mean_absolute_error: 0.6798 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6814 - mean_absolute_error: 0.6814 - val_loss: 0.6699 - val_mean_absolute_error: 0.6699 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6951 - mean_absolute_error: 0.6951 - val_loss: 0.6624 - val_mean_absolute_error: 0.6624 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6965 - mean_absolute_error: 0.6965 - val_loss: 0.6939 - val_mean_absolute_error: 0.6939 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6854 - mean_absolute_error: 0.6854 - val_loss: 0.6715 - val_mean_absolute_error: 0.6715 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6754 - mean_absolute_error: 0.6754 - val_loss: 0.7249 - val_mean_absolute_error: 0.7249 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6904 - mean_absolute_error: 0.6904 - val_loss: 0.7209 - val_mean_absolute_error: 0.7209 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7033 - mean_absolute_error: 0.7033 - val_loss: 0.6769 - val_mean_absolute_error: 0.6769 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6849 - mean_absolute_error: 0.6849 - val_loss: 0.6902 - val_mean_absolute_error: 0.6902 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6898 - mean_absolute_error: 0.6898 - val_loss: 0.7115 - val_mean_absolute_error: 0.7115 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6924 - mean_absolute_error: 0.6924 - val_loss: 0.7127 - val_mean_absolute_error: 0.7127 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6921 - mean_absolute_error: 0.6921 - val_loss: 0.6648 - val_mean_absolute_error: 0.6648 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6987 - mean_absolute_error: 0.6987 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.7273 - val_mean_absolute_error: 0.7273 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6878 - mean_absolute_error: 0.6878 - val_loss: 0.7053 - val_mean_absolute_error: 0.7053 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.7102 - val_mean_absolute_error: 0.7102 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6828 - mean_absolute_error: 0.6828 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6853 - mean_absolute_error: 0.6853 - val_loss: 0.6948 - val_mean_absolute_error: 0.6948 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6824 - mean_absolute_error: 0.6824 - val_loss: 0.7255 - val_mean_absolute_error: 0.7255 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6859 - mean_absolute_error: 0.6859 - val_loss: 0.6684 - val_mean_absolute_error: 0.6684 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6904 - mean_absolute_error: 0.6904 - val_loss: 0.6619 - val_mean_absolute_error: 0.6619 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6968 - mean_absolute_error: 0.6968 - val_loss: 0.6973 - val_mean_absolute_error: 0.6973 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.6911 - val_mean_absolute_error: 0.6911 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6867 - mean_absolute_error: 0.6867 - val_loss: 0.6604 - val_mean_absolute_error: 0.6604 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6832 - mean_absolute_error: 0.6832 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7020 - mean_absolute_error: 0.7020 - val_loss: 0.7232 - val_mean_absolute_error: 0.7232 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6894 - mean_absolute_error: 0.6894 - val_loss: 0.6776 - val_mean_absolute_error: 0.6776 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6899 - mean_absolute_error: 0.6899 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6979 - mean_absolute_error: 0.6979 - val_loss: 0.6992 - val_mean_absolute_error: 0.6992 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6735 - val_mean_absolute_error: 0.6735 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6748 - mean_absolute_error: 0.6748 - val_loss: 0.6867 - val_mean_absolute_error: 0.6867 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6986 - mean_absolute_error: 0.6986 - val_loss: 0.6714 - val_mean_absolute_error: 0.6714 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6922 - mean_absolute_error: 0.6922 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6831 - mean_absolute_error: 0.6831 - val_loss: 0.6802 - val_mean_absolute_error: 0.6802 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7113 - mean_absolute_error: 0.7113 - val_loss: 0.6852 - val_mean_absolute_error: 0.6852 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6925 - val_mean_absolute_error: 0.6925 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6862 - mean_absolute_error: 0.6862 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6870 - val_mean_absolute_error: 0.6870 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6952 - mean_absolute_error: 0.6952 - val_loss: 0.7127 - val_mean_absolute_error: 0.7127 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6849 - mean_absolute_error: 0.6849 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6959 - mean_absolute_error: 0.6959 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3607 - mean_absolute_error: 1.3607 - val_loss: 0.7002 - val_mean_absolute_error: 0.7002 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6986 - mean_absolute_error: 0.6986 - val_loss: 0.6634 - val_mean_absolute_error: 0.6634 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7003 - mean_absolute_error: 0.7003 - val_loss: 0.6958 - val_mean_absolute_error: 0.6958 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6872 - mean_absolute_error: 0.6872 - val_loss: 0.6740 - val_mean_absolute_error: 0.6740 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6923 - mean_absolute_error: 0.6923 - val_loss: 0.7022 - val_mean_absolute_error: 0.7022 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6900 - mean_absolute_error: 0.6900 - val_loss: 0.6654 - val_mean_absolute_error: 0.6654 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6933 - mean_absolute_error: 0.6933 - val_loss: 0.6797 - val_mean_absolute_error: 0.6797 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6732 - mean_absolute_error: 0.6732 - val_loss: 0.7013 - val_mean_absolute_error: 0.7013 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.6569 - val_mean_absolute_error: 0.6569 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6948 - mean_absolute_error: 0.6948 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6944 - mean_absolute_error: 0.6944 - val_loss: 0.6667 - val_mean_absolute_error: 0.6667 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6757 - val_mean_absolute_error: 0.6757 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.7203 - val_mean_absolute_error: 0.7203 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6852 - mean_absolute_error: 0.6852 - val_loss: 0.7030 - val_mean_absolute_error: 0.7030 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6710 - mean_absolute_error: 0.6710 - val_loss: 0.7243 - val_mean_absolute_error: 0.7243 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7022 - mean_absolute_error: 0.7022 - val_loss: 0.7396 - val_mean_absolute_error: 0.7396 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6880 - mean_absolute_error: 0.6880 - val_loss: 0.6949 - val_mean_absolute_error: 0.6949 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.7073 - val_mean_absolute_error: 0.7073 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6935 - mean_absolute_error: 0.6935 - val_loss: 0.6774 - val_mean_absolute_error: 0.6774 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6854 - mean_absolute_error: 0.6854 - val_loss: 0.7019 - val_mean_absolute_error: 0.7019 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6936 - mean_absolute_error: 0.6936 - val_loss: 0.7089 - val_mean_absolute_error: 0.7089 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6918 - mean_absolute_error: 0.6918 - val_loss: 0.6863 - val_mean_absolute_error: 0.6863 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.7101 - val_mean_absolute_error: 0.7101 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6819 - mean_absolute_error: 0.6819 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6905 - mean_absolute_error: 0.6905 - val_loss: 0.6613 - val_mean_absolute_error: 0.6613 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6870 - mean_absolute_error: 0.6870 - val_loss: 0.7267 - val_mean_absolute_error: 0.7267 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6921 - mean_absolute_error: 0.6921 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6866 - mean_absolute_error: 0.6866 - val_loss: 0.7233 - val_mean_absolute_error: 0.7233 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6689 - val_mean_absolute_error: 0.6689 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.6787 - val_mean_absolute_error: 0.6787 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6955 - mean_absolute_error: 0.6955 - val_loss: 0.6662 - val_mean_absolute_error: 0.6662 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6950 - mean_absolute_error: 0.6950 - val_loss: 0.6731 - val_mean_absolute_error: 0.6731 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6777 - mean_absolute_error: 0.6777 - val_loss: 0.7162 - val_mean_absolute_error: 0.7162 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6931 - mean_absolute_error: 0.6931 - val_loss: 0.7167 - val_mean_absolute_error: 0.7167 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.6772 - val_mean_absolute_error: 0.6772 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6781 - mean_absolute_error: 0.6781 - val_loss: 0.6696 - val_mean_absolute_error: 0.6696 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6871 - mean_absolute_error: 0.6871 - val_loss: 0.6768 - val_mean_absolute_error: 0.6768 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6832 - mean_absolute_error: 0.6832 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6876 - mean_absolute_error: 0.6876 - val_loss: 0.6659 - val_mean_absolute_error: 0.6659 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6933 - mean_absolute_error: 0.6933 - val_loss: 0.7362 - val_mean_absolute_error: 0.7362 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6842 - mean_absolute_error: 0.6842 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6805 - mean_absolute_error: 0.6805 - val_loss: 0.7110 - val_mean_absolute_error: 0.7110 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6988 - mean_absolute_error: 0.6988 - val_loss: 0.6645 - val_mean_absolute_error: 0.6645 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6831 - mean_absolute_error: 0.6831 - val_loss: 0.7971 - val_mean_absolute_error: 0.7971 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6694 - val_mean_absolute_error: 0.6694 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6741 - val_mean_absolute_error: 0.6741 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6871 - mean_absolute_error: 0.6871 - val_loss: 0.6898 - val_mean_absolute_error: 0.6898 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6818 - mean_absolute_error: 0.6818 - val_loss: 0.7319 - val_mean_absolute_error: 0.7319 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6885 - mean_absolute_error: 0.6885 - val_loss: 0.6697 - val_mean_absolute_error: 0.6697 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.6921 - val_mean_absolute_error: 0.6921 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4015 - mean_absolute_error: 1.4015 - val_loss: 0.6076 - val_mean_absolute_error: 0.6076 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4809 - val_mean_absolute_error: 0.4809 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4787 - val_mean_absolute_error: 0.4787 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.4796 - val_mean_absolute_error: 0.4796 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4475 - mean_absolute_error: 0.4475 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.4807 - val_mean_absolute_error: 0.4807 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4541 - mean_absolute_error: 0.4541 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4859 - val_mean_absolute_error: 0.4859 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4435 - mean_absolute_error: 0.4435 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4453 - mean_absolute_error: 0.4453 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4397 - mean_absolute_error: 0.4397 - val_loss: 0.4708 - val_mean_absolute_error: 0.4708 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4380 - mean_absolute_error: 0.4380 - val_loss: 0.4704 - val_mean_absolute_error: 0.4704 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.4719 - val_mean_absolute_error: 0.4719 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4328 - mean_absolute_error: 0.4328 - val_loss: 0.4746 - val_mean_absolute_error: 0.4746 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4641 - val_mean_absolute_error: 0.4641 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4290 - mean_absolute_error: 0.4290 - val_loss: 0.4675 - val_mean_absolute_error: 0.4675 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.4677 - val_mean_absolute_error: 0.4677 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4241 - mean_absolute_error: 0.4241 - val_loss: 0.4776 - val_mean_absolute_error: 0.4776 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.4692 - val_mean_absolute_error: 0.4692 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4237 - mean_absolute_error: 0.4237 - val_loss: 0.4726 - val_mean_absolute_error: 0.4726 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4219 - mean_absolute_error: 0.4219 - val_loss: 0.4638 - val_mean_absolute_error: 0.4638 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4192 - mean_absolute_error: 0.4192 - val_loss: 0.4689 - val_mean_absolute_error: 0.4689 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4206 - mean_absolute_error: 0.4206 - val_loss: 0.4668 - val_mean_absolute_error: 0.4668 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4170 - mean_absolute_error: 0.4170 - val_loss: 0.4652 - val_mean_absolute_error: 0.4652 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4138 - mean_absolute_error: 0.4138 - val_loss: 0.4590 - val_mean_absolute_error: 0.4590 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4160 - mean_absolute_error: 0.4160 - val_loss: 0.4573 - val_mean_absolute_error: 0.4573 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4177 - mean_absolute_error: 0.4177 - val_loss: 0.4611 - val_mean_absolute_error: 0.4611 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4165 - mean_absolute_error: 0.4165 - val_loss: 0.4676 - val_mean_absolute_error: 0.4676 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4161 - mean_absolute_error: 0.4161 - val_loss: 0.4576 - val_mean_absolute_error: 0.4576 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4123 - mean_absolute_error: 0.4123 - val_loss: 0.4619 - val_mean_absolute_error: 0.4619 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4140 - mean_absolute_error: 0.4140 - val_loss: 0.4645 - val_mean_absolute_error: 0.4645 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4124 - mean_absolute_error: 0.4124 - val_loss: 0.4635 - val_mean_absolute_error: 0.4635 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4145 - mean_absolute_error: 0.4145 - val_loss: 0.4678 - val_mean_absolute_error: 0.4678 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4123 - mean_absolute_error: 0.4123 - val_loss: 0.4598 - val_mean_absolute_error: 0.4598 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4127 - mean_absolute_error: 0.4127 - val_loss: 0.4603 - val_mean_absolute_error: 0.4603 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4084 - mean_absolute_error: 0.4084 - val_loss: 0.4628 - val_mean_absolute_error: 0.4628 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4120 - mean_absolute_error: 0.4120 - val_loss: 0.4600 - val_mean_absolute_error: 0.4600 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4079 - mean_absolute_error: 0.4079 - val_loss: 0.4599 - val_mean_absolute_error: 0.4599 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4097 - mean_absolute_error: 0.4097 - val_loss: 0.4601 - val_mean_absolute_error: 0.4601 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4083 - mean_absolute_error: 0.4083 - val_loss: 0.4628 - val_mean_absolute_error: 0.4628 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4077 - mean_absolute_error: 0.4077 - val_loss: 0.4584 - val_mean_absolute_error: 0.4584 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4085 - mean_absolute_error: 0.4085 - val_loss: 0.4569 - val_mean_absolute_error: 0.4569 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4066 - mean_absolute_error: 0.4066 - val_loss: 0.4672 - val_mean_absolute_error: 0.4672 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 2.2559 - mean_absolute_error: 2.2559 - val_loss: 0.7013 - val_mean_absolute_error: 0.7013 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.6759 - val_mean_absolute_error: 0.6759 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6751 - mean_absolute_error: 0.6751 - val_loss: 0.6624 - val_mean_absolute_error: 0.6624 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6669 - mean_absolute_error: 0.6669 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6617 - mean_absolute_error: 0.6617 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6615 - mean_absolute_error: 0.6615 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6089 - mean_absolute_error: 1.6089 - val_loss: 0.6625 - val_mean_absolute_error: 0.6625 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6754 - mean_absolute_error: 0.6754 - val_loss: 0.7250 - val_mean_absolute_error: 0.7250 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6980 - mean_absolute_error: 0.6980 - val_loss: 0.6956 - val_mean_absolute_error: 0.6956 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6885 - mean_absolute_error: 0.6885 - val_loss: 0.7335 - val_mean_absolute_error: 0.7335 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6870 - mean_absolute_error: 0.6870 - val_loss: 0.6854 - val_mean_absolute_error: 0.6854 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6799 - mean_absolute_error: 0.6799 - val_loss: 0.6943 - val_mean_absolute_error: 0.6943 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6861 - mean_absolute_error: 0.6861 - val_loss: 0.6618 - val_mean_absolute_error: 0.6618 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6851 - mean_absolute_error: 0.6851 - val_loss: 0.6785 - val_mean_absolute_error: 0.6785 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6847 - mean_absolute_error: 0.6847 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6761 - mean_absolute_error: 0.6761 - val_loss: 0.7286 - val_mean_absolute_error: 0.7286 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6804 - mean_absolute_error: 0.6804 - val_loss: 0.6648 - val_mean_absolute_error: 0.6648 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6897 - mean_absolute_error: 0.6897 - val_loss: 0.6974 - val_mean_absolute_error: 0.6974 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6908 - val_mean_absolute_error: 0.6908 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6838 - mean_absolute_error: 0.6838 - val_loss: 0.7082 - val_mean_absolute_error: 0.7082 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6909 - mean_absolute_error: 0.6909 - val_loss: 0.6938 - val_mean_absolute_error: 0.6938 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6890 - mean_absolute_error: 0.6890 - val_loss: 0.6909 - val_mean_absolute_error: 0.6909 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6887 - mean_absolute_error: 0.6887 - val_loss: 0.6681 - val_mean_absolute_error: 0.6681 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6739 - val_mean_absolute_error: 0.6739 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6803 - mean_absolute_error: 0.6803 - val_loss: 0.6805 - val_mean_absolute_error: 0.6805 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6849 - mean_absolute_error: 0.6849 - val_loss: 0.6720 - val_mean_absolute_error: 0.6720 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6819 - mean_absolute_error: 0.6819 - val_loss: 0.6837 - val_mean_absolute_error: 0.6837 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6888 - mean_absolute_error: 0.6888 - val_loss: 0.6881 - val_mean_absolute_error: 0.6881 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6909 - mean_absolute_error: 0.6909 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6644 - val_mean_absolute_error: 0.6644 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6945 - mean_absolute_error: 0.6945 - val_loss: 0.6805 - val_mean_absolute_error: 0.6805 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6817 - mean_absolute_error: 0.6817 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6906 - mean_absolute_error: 0.6906 - val_loss: 0.6748 - val_mean_absolute_error: 0.6748 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6878 - mean_absolute_error: 0.6878 - val_loss: 0.6802 - val_mean_absolute_error: 0.6802 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6871 - val_mean_absolute_error: 0.6871 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6652 - val_mean_absolute_error: 0.6652 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6601 - val_mean_absolute_error: 0.6601 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.7142 - val_mean_absolute_error: 0.7142 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6915 - mean_absolute_error: 0.6915 - val_loss: 0.6585 - val_mean_absolute_error: 0.6585 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6870 - mean_absolute_error: 0.6870 - val_loss: 0.6747 - val_mean_absolute_error: 0.6747 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6784 - mean_absolute_error: 0.6784 - val_loss: 0.6959 - val_mean_absolute_error: 0.6959 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6822 - mean_absolute_error: 0.6822 - val_loss: 0.6664 - val_mean_absolute_error: 0.6664 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6834 - mean_absolute_error: 0.6834 - val_loss: 0.6730 - val_mean_absolute_error: 0.6730 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.6935 - val_mean_absolute_error: 0.6935 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6867 - mean_absolute_error: 0.6867 - val_loss: 0.6747 - val_mean_absolute_error: 0.6747 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.7354 - val_mean_absolute_error: 0.7354 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6876 - mean_absolute_error: 0.6876 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6918 - mean_absolute_error: 0.6918 - val_loss: 0.6777 - val_mean_absolute_error: 0.6777 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6719 - val_mean_absolute_error: 0.6719 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6892 - mean_absolute_error: 0.6892 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6441 - mean_absolute_error: 1.6441 - val_loss: 0.8004 - val_mean_absolute_error: 0.8004 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6819 - mean_absolute_error: 0.6819 - val_loss: 0.6909 - val_mean_absolute_error: 0.6909 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6798 - mean_absolute_error: 0.6798 - val_loss: 0.6653 - val_mean_absolute_error: 0.6653 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6881 - mean_absolute_error: 0.6881 - val_loss: 0.6607 - val_mean_absolute_error: 0.6607 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6827 - mean_absolute_error: 0.6827 - val_loss: 0.6608 - val_mean_absolute_error: 0.6608 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.6889 - val_mean_absolute_error: 0.6889 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6838 - mean_absolute_error: 0.6838 - val_loss: 0.7522 - val_mean_absolute_error: 0.7522 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6814 - mean_absolute_error: 0.6814 - val_loss: 0.6618 - val_mean_absolute_error: 0.6618 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6944 - mean_absolute_error: 0.6944 - val_loss: 0.6770 - val_mean_absolute_error: 0.6770 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6871 - mean_absolute_error: 0.6871 - val_loss: 0.6805 - val_mean_absolute_error: 0.6805 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6888 - mean_absolute_error: 0.6888 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6754 - mean_absolute_error: 0.6754 - val_loss: 0.7145 - val_mean_absolute_error: 0.7145 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6920 - mean_absolute_error: 0.6920 - val_loss: 0.6758 - val_mean_absolute_error: 0.6758 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6917 - mean_absolute_error: 0.6917 - val_loss: 0.6821 - val_mean_absolute_error: 0.6821 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6920 - val_mean_absolute_error: 0.6920 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6971 - mean_absolute_error: 0.6971 - val_loss: 0.6953 - val_mean_absolute_error: 0.6953 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6856 - mean_absolute_error: 0.6856 - val_loss: 0.6728 - val_mean_absolute_error: 0.6728 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6801 - mean_absolute_error: 0.6801 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.6746 - val_mean_absolute_error: 0.6746 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6842 - mean_absolute_error: 0.6842 - val_loss: 0.6849 - val_mean_absolute_error: 0.6849 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6795 - val_mean_absolute_error: 0.6795 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.6600 - val_mean_absolute_error: 0.6600 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6846 - mean_absolute_error: 0.6846 - val_loss: 0.6745 - val_mean_absolute_error: 0.6745 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.6910 - val_mean_absolute_error: 0.6910 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6815 - val_mean_absolute_error: 0.6815 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.6837 - val_mean_absolute_error: 0.6837 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6803 - mean_absolute_error: 0.6803 - val_loss: 0.6656 - val_mean_absolute_error: 0.6656 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6824 - mean_absolute_error: 0.6824 - val_loss: 0.6845 - val_mean_absolute_error: 0.6845 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6825 - mean_absolute_error: 0.6825 - val_loss: 0.6948 - val_mean_absolute_error: 0.6948 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6831 - mean_absolute_error: 0.6831 - val_loss: 0.6831 - val_mean_absolute_error: 0.6831 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6846 - mean_absolute_error: 0.6846 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6816 - mean_absolute_error: 0.6816 - val_loss: 0.6690 - val_mean_absolute_error: 0.6690 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.7025 - val_mean_absolute_error: 0.7025 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6852 - mean_absolute_error: 0.6852 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6795 - mean_absolute_error: 0.6795 - val_loss: 0.6642 - val_mean_absolute_error: 0.6642 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6808 - mean_absolute_error: 0.6808 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.6943 - val_mean_absolute_error: 0.6943 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6823 - mean_absolute_error: 0.6823 - val_loss: 0.6838 - val_mean_absolute_error: 0.6838 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6798 - mean_absolute_error: 0.6798 - val_loss: 0.6686 - val_mean_absolute_error: 0.6686 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6824 - mean_absolute_error: 0.6824 - val_loss: 0.6854 - val_mean_absolute_error: 0.6854 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6874 - mean_absolute_error: 0.6874 - val_loss: 0.6700 - val_mean_absolute_error: 0.6700 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6815 - mean_absolute_error: 0.6815 - val_loss: 0.6953 - val_mean_absolute_error: 0.6953 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6814 - val_mean_absolute_error: 0.6814 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6745 - mean_absolute_error: 0.6745 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6779 - mean_absolute_error: 0.6779 - val_loss: 0.6852 - val_mean_absolute_error: 0.6852 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6780 - mean_absolute_error: 0.6780 - val_loss: 0.6949 - val_mean_absolute_error: 0.6949 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6740 - mean_absolute_error: 1.6740 - val_loss: 0.6938 - val_mean_absolute_error: 0.6938 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6817 - mean_absolute_error: 0.6817 - val_loss: 0.6686 - val_mean_absolute_error: 0.6686 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6747 - mean_absolute_error: 0.6747 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6721 - mean_absolute_error: 0.6721 - val_loss: 0.6635 - val_mean_absolute_error: 0.6635 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6687 - mean_absolute_error: 0.6687 - val_loss: 0.6620 - val_mean_absolute_error: 0.6620 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6713 - mean_absolute_error: 0.6713 - val_loss: 0.6640 - val_mean_absolute_error: 0.6640 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6700 - mean_absolute_error: 0.6700 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6651 - val_mean_absolute_error: 0.6651 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6673 - mean_absolute_error: 0.6673 - val_loss: 0.6607 - val_mean_absolute_error: 0.6607 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6699 - mean_absolute_error: 0.6699 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6658 - mean_absolute_error: 0.6658 - val_loss: 0.6546 - val_mean_absolute_error: 0.6546 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6587 - val_mean_absolute_error: 0.6587 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6669 - mean_absolute_error: 0.6669 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6668 - mean_absolute_error: 0.6668 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6655 - mean_absolute_error: 0.6655 - val_loss: 0.6575 - val_mean_absolute_error: 0.6575 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6552 - val_mean_absolute_error: 0.6552 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6535 - val_mean_absolute_error: 0.6535 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.1205 - mean_absolute_error: 1.1205 - val_loss: 0.6323 - val_mean_absolute_error: 0.6323 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5952 - mean_absolute_error: 0.5952 - val_loss: 0.5879 - val_mean_absolute_error: 0.5879 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5645 - mean_absolute_error: 0.5645 - val_loss: 0.5691 - val_mean_absolute_error: 0.5691 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5508 - mean_absolute_error: 0.5508 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5411 - mean_absolute_error: 0.5411 - val_loss: 0.5522 - val_mean_absolute_error: 0.5522 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5346 - mean_absolute_error: 0.5346 - val_loss: 0.5476 - val_mean_absolute_error: 0.5476 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5249 - mean_absolute_error: 0.5249 - val_loss: 0.5379 - val_mean_absolute_error: 0.5379 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5219 - mean_absolute_error: 0.5219 - val_loss: 0.5373 - val_mean_absolute_error: 0.5373 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5122 - mean_absolute_error: 0.5122 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5110 - mean_absolute_error: 0.5110 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.5250 - val_mean_absolute_error: 0.5250 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5044 - mean_absolute_error: 0.5044 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5218 - val_mean_absolute_error: 0.5218 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5213 - val_mean_absolute_error: 0.5213 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5030 - mean_absolute_error: 0.5030 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5018 - mean_absolute_error: 0.5018 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5005 - mean_absolute_error: 0.5005 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5003 - mean_absolute_error: 0.5003 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4802 - mean_absolute_error: 5.4802 - val_loss: 5.3232 - val_mean_absolute_error: 5.3232 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9533 - mean_absolute_error: 4.9533 - val_loss: 4.4534 - val_mean_absolute_error: 4.4534 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6034 - mean_absolute_error: 3.6034 - val_loss: 2.4217 - val_mean_absolute_error: 2.4217 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9069 - mean_absolute_error: 1.9069 - val_loss: 1.4629 - val_mean_absolute_error: 1.4629 Epoch 5/50 35/35 [==============================] - 0s 3ms/step - loss: 1.2787 - mean_absolute_error: 1.2787 - val_loss: 1.0673 - val_mean_absolute_error: 1.0673 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9981 - mean_absolute_error: 0.9981 - val_loss: 0.9232 - val_mean_absolute_error: 0.9232 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8632 - mean_absolute_error: 0.8632 - val_loss: 0.8134 - val_mean_absolute_error: 0.8134 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7705 - mean_absolute_error: 0.7705 - val_loss: 0.7423 - val_mean_absolute_error: 0.7423 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7066 - mean_absolute_error: 0.7066 - val_loss: 0.6989 - val_mean_absolute_error: 0.6989 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6775 - val_mean_absolute_error: 0.6775 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6355 - mean_absolute_error: 0.6355 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6120 - mean_absolute_error: 0.6120 - val_loss: 0.6335 - val_mean_absolute_error: 0.6335 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5958 - mean_absolute_error: 0.5958 - val_loss: 0.6172 - val_mean_absolute_error: 0.6172 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5818 - mean_absolute_error: 0.5818 - val_loss: 0.6047 - val_mean_absolute_error: 0.6047 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5710 - mean_absolute_error: 0.5710 - val_loss: 0.5946 - val_mean_absolute_error: 0.5946 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5602 - mean_absolute_error: 0.5602 - val_loss: 0.5875 - val_mean_absolute_error: 0.5875 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5531 - mean_absolute_error: 0.5531 - val_loss: 0.5834 - val_mean_absolute_error: 0.5834 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5478 - mean_absolute_error: 0.5478 - val_loss: 0.5833 - val_mean_absolute_error: 0.5833 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5435 - mean_absolute_error: 0.5435 - val_loss: 0.5698 - val_mean_absolute_error: 0.5698 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5382 - mean_absolute_error: 0.5382 - val_loss: 0.5643 - val_mean_absolute_error: 0.5643 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5349 - mean_absolute_error: 0.5349 - val_loss: 0.5630 - val_mean_absolute_error: 0.5630 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5617 - val_mean_absolute_error: 0.5617 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5299 - mean_absolute_error: 0.5299 - val_loss: 0.5561 - val_mean_absolute_error: 0.5561 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5273 - mean_absolute_error: 0.5273 - val_loss: 0.5544 - val_mean_absolute_error: 0.5544 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5260 - mean_absolute_error: 0.5260 - val_loss: 0.5553 - val_mean_absolute_error: 0.5553 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5243 - mean_absolute_error: 0.5243 - val_loss: 0.5545 - val_mean_absolute_error: 0.5545 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5223 - mean_absolute_error: 0.5223 - val_loss: 0.5507 - val_mean_absolute_error: 0.5507 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5549 - val_mean_absolute_error: 0.5549 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5193 - mean_absolute_error: 0.5193 - val_loss: 0.5525 - val_mean_absolute_error: 0.5525 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5473 - val_mean_absolute_error: 0.5473 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5460 - val_mean_absolute_error: 0.5460 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5455 - val_mean_absolute_error: 0.5455 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5418 - val_mean_absolute_error: 0.5418 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5125 - mean_absolute_error: 0.5125 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.5404 - val_mean_absolute_error: 0.5404 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5073 - mean_absolute_error: 0.5073 - val_loss: 0.5331 - val_mean_absolute_error: 0.5331 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5343 - val_mean_absolute_error: 0.5343 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5058 - mean_absolute_error: 0.5058 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5334 - val_mean_absolute_error: 0.5334 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5455 - val_mean_absolute_error: 0.5455 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5046 - mean_absolute_error: 0.5046 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.5514 - mean_absolute_error: 5.5514 - val_loss: 5.4777 - val_mean_absolute_error: 5.4777 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3928 - mean_absolute_error: 5.3928 - val_loss: 5.3293 - val_mean_absolute_error: 5.3293 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2544 - mean_absolute_error: 5.2544 - val_loss: 5.1991 - val_mean_absolute_error: 5.1991 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1310 - mean_absolute_error: 5.1310 - val_loss: 5.0802 - val_mean_absolute_error: 5.0802 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0171 - mean_absolute_error: 5.0171 - val_loss: 4.9691 - val_mean_absolute_error: 4.9691 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9091 - mean_absolute_error: 4.9091 - val_loss: 4.8633 - val_mean_absolute_error: 4.8633 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8049 - mean_absolute_error: 4.8049 - val_loss: 4.7601 - val_mean_absolute_error: 4.7601 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7019 - mean_absolute_error: 4.7019 - val_loss: 4.6572 - val_mean_absolute_error: 4.6572 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5982 - mean_absolute_error: 4.5982 - val_loss: 4.5543 - val_mean_absolute_error: 4.5543 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4942 - mean_absolute_error: 4.4942 - val_loss: 4.4510 - val_mean_absolute_error: 4.4510 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3902 - mean_absolute_error: 4.3902 - val_loss: 4.3474 - val_mean_absolute_error: 4.3474 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2854 - mean_absolute_error: 4.2854 - val_loss: 4.2425 - val_mean_absolute_error: 4.2425 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1790 - mean_absolute_error: 4.1790 - val_loss: 4.1363 - val_mean_absolute_error: 4.1363 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0706 - mean_absolute_error: 4.0706 - val_loss: 4.0267 - val_mean_absolute_error: 4.0267 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9589 - mean_absolute_error: 3.9589 - val_loss: 3.9140 - val_mean_absolute_error: 3.9140 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8433 - mean_absolute_error: 3.8433 - val_loss: 3.7963 - val_mean_absolute_error: 3.7963 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7227 - mean_absolute_error: 3.7227 - val_loss: 3.6741 - val_mean_absolute_error: 3.6741 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5968 - mean_absolute_error: 3.5968 - val_loss: 3.5452 - val_mean_absolute_error: 3.5452 Epoch 19/50 35/35 [==============================] - 0s 3ms/step - loss: 3.4641 - mean_absolute_error: 3.4641 - val_loss: 3.4091 - val_mean_absolute_error: 3.4091 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3238 - mean_absolute_error: 3.3238 - val_loss: 3.2658 - val_mean_absolute_error: 3.2658 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1793 - mean_absolute_error: 3.1793 - val_loss: 3.1153 - val_mean_absolute_error: 3.1153 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0323 - mean_absolute_error: 3.0323 - val_loss: 2.9626 - val_mean_absolute_error: 2.9626 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8857 - mean_absolute_error: 2.8857 - val_loss: 2.8111 - val_mean_absolute_error: 2.8111 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7473 - mean_absolute_error: 2.7473 - val_loss: 2.6737 - val_mean_absolute_error: 2.6737 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6196 - mean_absolute_error: 2.6196 - val_loss: 2.5478 - val_mean_absolute_error: 2.5478 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5003 - mean_absolute_error: 2.5003 - val_loss: 2.4275 - val_mean_absolute_error: 2.4275 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3864 - mean_absolute_error: 2.3864 - val_loss: 2.3208 - val_mean_absolute_error: 2.3208 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2823 - mean_absolute_error: 2.2823 - val_loss: 2.2207 - val_mean_absolute_error: 2.2207 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1870 - mean_absolute_error: 2.1870 - val_loss: 2.1331 - val_mean_absolute_error: 2.1331 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1036 - mean_absolute_error: 2.1036 - val_loss: 2.0533 - val_mean_absolute_error: 2.0533 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0282 - mean_absolute_error: 2.0282 - val_loss: 1.9767 - val_mean_absolute_error: 1.9767 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9558 - mean_absolute_error: 1.9558 - val_loss: 1.9053 - val_mean_absolute_error: 1.9053 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8887 - mean_absolute_error: 1.8887 - val_loss: 1.8384 - val_mean_absolute_error: 1.8384 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8276 - mean_absolute_error: 1.8276 - val_loss: 1.7771 - val_mean_absolute_error: 1.7771 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7728 - mean_absolute_error: 1.7728 - val_loss: 1.7196 - val_mean_absolute_error: 1.7196 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7231 - mean_absolute_error: 1.7231 - val_loss: 1.6687 - val_mean_absolute_error: 1.6687 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6780 - mean_absolute_error: 1.6780 - val_loss: 1.6207 - val_mean_absolute_error: 1.6207 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6370 - mean_absolute_error: 1.6370 - val_loss: 1.5792 - val_mean_absolute_error: 1.5792 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6001 - mean_absolute_error: 1.6001 - val_loss: 1.5396 - val_mean_absolute_error: 1.5396 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5654 - mean_absolute_error: 1.5654 - val_loss: 1.5024 - val_mean_absolute_error: 1.5024 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5327 - mean_absolute_error: 1.5327 - val_loss: 1.4691 - val_mean_absolute_error: 1.4691 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5025 - mean_absolute_error: 1.5025 - val_loss: 1.4388 - val_mean_absolute_error: 1.4388 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4743 - mean_absolute_error: 1.4743 - val_loss: 1.4108 - val_mean_absolute_error: 1.4108 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4479 - mean_absolute_error: 1.4479 - val_loss: 1.3849 - val_mean_absolute_error: 1.3849 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4233 - mean_absolute_error: 1.4233 - val_loss: 1.3611 - val_mean_absolute_error: 1.3611 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3998 - mean_absolute_error: 1.3998 - val_loss: 1.3400 - val_mean_absolute_error: 1.3400 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3778 - mean_absolute_error: 1.3778 - val_loss: 1.3202 - val_mean_absolute_error: 1.3202 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3565 - mean_absolute_error: 1.3565 - val_loss: 1.3007 - val_mean_absolute_error: 1.3007 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3357 - mean_absolute_error: 1.3357 - val_loss: 1.2822 - val_mean_absolute_error: 1.2822 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3155 - mean_absolute_error: 1.3155 - val_loss: 1.2634 - val_mean_absolute_error: 1.2634 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.3375 - mean_absolute_error: 5.3375 - val_loss: 5.3246 - val_mean_absolute_error: 5.3246 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3054 - mean_absolute_error: 5.3054 - val_loss: 5.3103 - val_mean_absolute_error: 5.3103 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2946 - mean_absolute_error: 5.2946 - val_loss: 5.3022 - val_mean_absolute_error: 5.3022 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2878 - mean_absolute_error: 5.2878 - val_loss: 5.2965 - val_mean_absolute_error: 5.2965 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2828 - mean_absolute_error: 5.2828 - val_loss: 5.2920 - val_mean_absolute_error: 5.2920 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2788 - mean_absolute_error: 5.2788 - val_loss: 5.2884 - val_mean_absolute_error: 5.2884 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2754 - mean_absolute_error: 5.2754 - val_loss: 5.2853 - val_mean_absolute_error: 5.2853 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2725 - mean_absolute_error: 5.2725 - val_loss: 5.2826 - val_mean_absolute_error: 5.2826 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2700 - mean_absolute_error: 5.2700 - val_loss: 5.2802 - val_mean_absolute_error: 5.2802 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2678 - mean_absolute_error: 5.2678 - val_loss: 5.2781 - val_mean_absolute_error: 5.2781 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2657 - mean_absolute_error: 5.2657 - val_loss: 5.2762 - val_mean_absolute_error: 5.2762 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2639 - mean_absolute_error: 5.2639 - val_loss: 5.2744 - val_mean_absolute_error: 5.2744 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2622 - mean_absolute_error: 5.2622 - val_loss: 5.2728 - val_mean_absolute_error: 5.2728 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2607 - mean_absolute_error: 5.2607 - val_loss: 5.2713 - val_mean_absolute_error: 5.2713 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2592 - mean_absolute_error: 5.2592 - val_loss: 5.2699 - val_mean_absolute_error: 5.2699 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2578 - mean_absolute_error: 5.2578 - val_loss: 5.2686 - val_mean_absolute_error: 5.2686 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2566 - mean_absolute_error: 5.2566 - val_loss: 5.2674 - val_mean_absolute_error: 5.2674 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2554 - mean_absolute_error: 5.2554 - val_loss: 5.2662 - val_mean_absolute_error: 5.2662 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2542 - mean_absolute_error: 5.2542 - val_loss: 5.2651 - val_mean_absolute_error: 5.2651 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2532 - mean_absolute_error: 5.2532 - val_loss: 5.2640 - val_mean_absolute_error: 5.2640 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2521 - mean_absolute_error: 5.2521 - val_loss: 5.2631 - val_mean_absolute_error: 5.2631 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2511 - mean_absolute_error: 5.2511 - val_loss: 5.2621 - val_mean_absolute_error: 5.2621 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2502 - mean_absolute_error: 5.2502 - val_loss: 5.2612 - val_mean_absolute_error: 5.2612 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2493 - mean_absolute_error: 5.2493 - val_loss: 5.2603 - val_mean_absolute_error: 5.2603 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2484 - mean_absolute_error: 5.2484 - val_loss: 5.2595 - val_mean_absolute_error: 5.2595 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2476 - mean_absolute_error: 5.2476 - val_loss: 5.2587 - val_mean_absolute_error: 5.2587 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2468 - mean_absolute_error: 5.2468 - val_loss: 5.2579 - val_mean_absolute_error: 5.2579 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2461 - mean_absolute_error: 5.2461 - val_loss: 5.2571 - val_mean_absolute_error: 5.2571 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2453 - mean_absolute_error: 5.2453 - val_loss: 5.2564 - val_mean_absolute_error: 5.2564 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2446 - mean_absolute_error: 5.2446 - val_loss: 5.2557 - val_mean_absolute_error: 5.2557 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2439 - mean_absolute_error: 5.2439 - val_loss: 5.2550 - val_mean_absolute_error: 5.2550 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2432 - mean_absolute_error: 5.2432 - val_loss: 5.2544 - val_mean_absolute_error: 5.2544 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2426 - mean_absolute_error: 5.2426 - val_loss: 5.2537 - val_mean_absolute_error: 5.2537 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2420 - mean_absolute_error: 5.2420 - val_loss: 5.2531 - val_mean_absolute_error: 5.2531 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2414 - mean_absolute_error: 5.2414 - val_loss: 5.2525 - val_mean_absolute_error: 5.2525 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2408 - mean_absolute_error: 5.2408 - val_loss: 5.2519 - val_mean_absolute_error: 5.2519 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2402 - mean_absolute_error: 5.2402 - val_loss: 5.2514 - val_mean_absolute_error: 5.2514 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2396 - mean_absolute_error: 5.2396 - val_loss: 5.2508 - val_mean_absolute_error: 5.2508 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2391 - mean_absolute_error: 5.2391 - val_loss: 5.2503 - val_mean_absolute_error: 5.2503 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2385 - mean_absolute_error: 5.2385 - val_loss: 5.2497 - val_mean_absolute_error: 5.2497 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2380 - mean_absolute_error: 5.2380 - val_loss: 5.2492 - val_mean_absolute_error: 5.2492 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2375 - mean_absolute_error: 5.2375 - val_loss: 5.2487 - val_mean_absolute_error: 5.2487 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2370 - mean_absolute_error: 5.2370 - val_loss: 5.2482 - val_mean_absolute_error: 5.2482 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2365 - mean_absolute_error: 5.2365 - val_loss: 5.2477 - val_mean_absolute_error: 5.2477 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2360 - mean_absolute_error: 5.2360 - val_loss: 5.2473 - val_mean_absolute_error: 5.2473 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2356 - mean_absolute_error: 5.2356 - val_loss: 5.2468 - val_mean_absolute_error: 5.2468 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2351 - mean_absolute_error: 5.2351 - val_loss: 5.2464 - val_mean_absolute_error: 5.2464 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2347 - mean_absolute_error: 5.2347 - val_loss: 5.2459 - val_mean_absolute_error: 5.2459 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2342 - mean_absolute_error: 5.2342 - val_loss: 5.2455 - val_mean_absolute_error: 5.2455 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2338 - mean_absolute_error: 5.2338 - val_loss: 5.2451 - val_mean_absolute_error: 5.2451 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.2186 - mean_absolute_error: 5.2186 - val_loss: 5.0564 - val_mean_absolute_error: 5.0564 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7766 - mean_absolute_error: 4.7766 - val_loss: 4.4906 - val_mean_absolute_error: 4.4906 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9455 - mean_absolute_error: 3.9455 - val_loss: 3.3629 - val_mean_absolute_error: 3.3629 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6097 - mean_absolute_error: 2.6097 - val_loss: 2.2580 - val_mean_absolute_error: 2.2580 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8627 - mean_absolute_error: 1.8627 - val_loss: 1.7020 - val_mean_absolute_error: 1.7020 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4378 - mean_absolute_error: 1.4378 - val_loss: 1.3474 - val_mean_absolute_error: 1.3474 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1818 - mean_absolute_error: 1.1818 - val_loss: 1.1683 - val_mean_absolute_error: 1.1683 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0450 - mean_absolute_error: 1.0450 - val_loss: 1.0679 - val_mean_absolute_error: 1.0679 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9694 - mean_absolute_error: 0.9694 - val_loss: 1.0080 - val_mean_absolute_error: 1.0080 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9242 - mean_absolute_error: 0.9242 - val_loss: 0.9652 - val_mean_absolute_error: 0.9652 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8852 - mean_absolute_error: 0.8852 - val_loss: 0.9276 - val_mean_absolute_error: 0.9276 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8552 - mean_absolute_error: 0.8552 - val_loss: 0.8959 - val_mean_absolute_error: 0.8959 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8295 - mean_absolute_error: 0.8295 - val_loss: 0.8675 - val_mean_absolute_error: 0.8675 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8036 - mean_absolute_error: 0.8036 - val_loss: 0.8466 - val_mean_absolute_error: 0.8466 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7814 - mean_absolute_error: 0.7814 - val_loss: 0.8223 - val_mean_absolute_error: 0.8223 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7595 - mean_absolute_error: 0.7595 - val_loss: 0.8032 - val_mean_absolute_error: 0.8032 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7431 - mean_absolute_error: 0.7431 - val_loss: 0.7828 - val_mean_absolute_error: 0.7828 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7244 - mean_absolute_error: 0.7244 - val_loss: 0.7664 - val_mean_absolute_error: 0.7664 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7106 - mean_absolute_error: 0.7106 - val_loss: 0.7506 - val_mean_absolute_error: 0.7506 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6959 - mean_absolute_error: 0.6959 - val_loss: 0.7380 - val_mean_absolute_error: 0.7380 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6824 - mean_absolute_error: 0.6824 - val_loss: 0.7243 - val_mean_absolute_error: 0.7243 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6705 - mean_absolute_error: 0.6705 - val_loss: 0.7122 - val_mean_absolute_error: 0.7122 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6591 - mean_absolute_error: 0.6591 - val_loss: 0.7014 - val_mean_absolute_error: 0.7014 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6484 - mean_absolute_error: 0.6484 - val_loss: 0.6923 - val_mean_absolute_error: 0.6923 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6379 - mean_absolute_error: 0.6379 - val_loss: 0.6846 - val_mean_absolute_error: 0.6846 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6288 - mean_absolute_error: 0.6288 - val_loss: 0.6739 - val_mean_absolute_error: 0.6739 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6214 - mean_absolute_error: 0.6214 - val_loss: 0.6677 - val_mean_absolute_error: 0.6677 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6122 - mean_absolute_error: 0.6122 - val_loss: 0.6584 - val_mean_absolute_error: 0.6584 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6055 - mean_absolute_error: 0.6055 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5994 - mean_absolute_error: 0.5994 - val_loss: 0.6446 - val_mean_absolute_error: 0.6446 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5947 - mean_absolute_error: 0.5947 - val_loss: 0.6340 - val_mean_absolute_error: 0.6340 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5868 - mean_absolute_error: 0.5868 - val_loss: 0.6298 - val_mean_absolute_error: 0.6298 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5818 - mean_absolute_error: 0.5818 - val_loss: 0.6265 - val_mean_absolute_error: 0.6265 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5772 - mean_absolute_error: 0.5772 - val_loss: 0.6175 - val_mean_absolute_error: 0.6175 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5721 - mean_absolute_error: 0.5721 - val_loss: 0.6109 - val_mean_absolute_error: 0.6109 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5688 - mean_absolute_error: 0.5688 - val_loss: 0.6076 - val_mean_absolute_error: 0.6076 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5633 - mean_absolute_error: 0.5633 - val_loss: 0.6089 - val_mean_absolute_error: 0.6089 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5600 - mean_absolute_error: 0.5600 - val_loss: 0.5980 - val_mean_absolute_error: 0.5980 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5567 - mean_absolute_error: 0.5567 - val_loss: 0.6006 - val_mean_absolute_error: 0.6006 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5528 - mean_absolute_error: 0.5528 - val_loss: 0.5908 - val_mean_absolute_error: 0.5908 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.5944 - val_mean_absolute_error: 0.5944 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5474 - mean_absolute_error: 0.5474 - val_loss: 0.5865 - val_mean_absolute_error: 0.5865 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5440 - mean_absolute_error: 0.5440 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5415 - mean_absolute_error: 0.5415 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5386 - mean_absolute_error: 0.5386 - val_loss: 0.5775 - val_mean_absolute_error: 0.5775 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5365 - mean_absolute_error: 0.5365 - val_loss: 0.5756 - val_mean_absolute_error: 0.5756 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5338 - mean_absolute_error: 0.5338 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5324 - mean_absolute_error: 0.5324 - val_loss: 0.5723 - val_mean_absolute_error: 0.5723 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5295 - mean_absolute_error: 0.5295 - val_loss: 0.5669 - val_mean_absolute_error: 0.5669 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6335 - mean_absolute_error: 5.6335 - val_loss: 5.6416 - val_mean_absolute_error: 5.6416 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6069 - mean_absolute_error: 5.6069 - val_loss: 5.5861 - val_mean_absolute_error: 5.5861 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5474 - mean_absolute_error: 5.5474 - val_loss: 5.5230 - val_mean_absolute_error: 5.5230 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4841 - mean_absolute_error: 5.4841 - val_loss: 5.4597 - val_mean_absolute_error: 5.4597 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4206 - mean_absolute_error: 5.4206 - val_loss: 5.3958 - val_mean_absolute_error: 5.3958 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3560 - mean_absolute_error: 5.3560 - val_loss: 5.3305 - val_mean_absolute_error: 5.3305 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2903 - mean_absolute_error: 5.2903 - val_loss: 5.2639 - val_mean_absolute_error: 5.2639 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2230 - mean_absolute_error: 5.2230 - val_loss: 5.1953 - val_mean_absolute_error: 5.1953 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1534 - mean_absolute_error: 5.1534 - val_loss: 5.1239 - val_mean_absolute_error: 5.1239 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0806 - mean_absolute_error: 5.0806 - val_loss: 5.0489 - val_mean_absolute_error: 5.0489 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0035 - mean_absolute_error: 5.0035 - val_loss: 4.9687 - val_mean_absolute_error: 4.9687 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9204 - mean_absolute_error: 4.9204 - val_loss: 4.8811 - val_mean_absolute_error: 4.8811 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8284 - mean_absolute_error: 4.8284 - val_loss: 4.7833 - val_mean_absolute_error: 4.7833 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7241 - mean_absolute_error: 4.7241 - val_loss: 4.6707 - val_mean_absolute_error: 4.6707 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6018 - mean_absolute_error: 4.6018 - val_loss: 4.5367 - val_mean_absolute_error: 4.5367 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4531 - mean_absolute_error: 4.4531 - val_loss: 4.3697 - val_mean_absolute_error: 4.3697 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2623 - mean_absolute_error: 4.2623 - val_loss: 4.1487 - val_mean_absolute_error: 4.1487 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0001 - mean_absolute_error: 4.0001 - val_loss: 3.8376 - val_mean_absolute_error: 3.8376 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6160 - mean_absolute_error: 3.6160 - val_loss: 3.3705 - val_mean_absolute_error: 3.3705 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0424 - mean_absolute_error: 3.0424 - val_loss: 2.7438 - val_mean_absolute_error: 2.7438 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3520 - mean_absolute_error: 2.3520 - val_loss: 2.1181 - val_mean_absolute_error: 2.1181 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8468 - mean_absolute_error: 1.8468 - val_loss: 1.7771 - val_mean_absolute_error: 1.7771 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6028 - mean_absolute_error: 1.6028 - val_loss: 1.5884 - val_mean_absolute_error: 1.5884 Epoch 23/50 35/35 [==============================] - 0s 3ms/step - loss: 1.4404 - mean_absolute_error: 1.4404 - val_loss: 1.4214 - val_mean_absolute_error: 1.4214 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 1.2852 - mean_absolute_error: 1.2852 - val_loss: 1.2717 - val_mean_absolute_error: 1.2717 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1575 - mean_absolute_error: 1.1575 - val_loss: 1.1585 - val_mean_absolute_error: 1.1585 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0572 - mean_absolute_error: 1.0572 - val_loss: 1.0663 - val_mean_absolute_error: 1.0663 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9732 - mean_absolute_error: 0.9732 - val_loss: 0.9891 - val_mean_absolute_error: 0.9891 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.9041 - mean_absolute_error: 0.9041 - val_loss: 0.9253 - val_mean_absolute_error: 0.9253 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8463 - mean_absolute_error: 0.8463 - val_loss: 0.8744 - val_mean_absolute_error: 0.8744 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7957 - mean_absolute_error: 0.7957 - val_loss: 0.8352 - val_mean_absolute_error: 0.8352 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7571 - mean_absolute_error: 0.7571 - val_loss: 0.7995 - val_mean_absolute_error: 0.7995 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7269 - mean_absolute_error: 0.7269 - val_loss: 0.7727 - val_mean_absolute_error: 0.7727 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7044 - mean_absolute_error: 0.7044 - val_loss: 0.7529 - val_mean_absolute_error: 0.7529 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6860 - mean_absolute_error: 0.6860 - val_loss: 0.7326 - val_mean_absolute_error: 0.7326 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6707 - mean_absolute_error: 0.6707 - val_loss: 0.7162 - val_mean_absolute_error: 0.7162 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6574 - mean_absolute_error: 0.6574 - val_loss: 0.7010 - val_mean_absolute_error: 0.7010 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6446 - mean_absolute_error: 0.6446 - val_loss: 0.6933 - val_mean_absolute_error: 0.6933 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6365 - mean_absolute_error: 0.6365 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6260 - mean_absolute_error: 0.6260 - val_loss: 0.6645 - val_mean_absolute_error: 0.6645 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6178 - mean_absolute_error: 0.6178 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6102 - mean_absolute_error: 0.6102 - val_loss: 0.6457 - val_mean_absolute_error: 0.6457 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6032 - mean_absolute_error: 0.6032 - val_loss: 0.6368 - val_mean_absolute_error: 0.6368 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5964 - mean_absolute_error: 0.5964 - val_loss: 0.6293 - val_mean_absolute_error: 0.6293 Epoch 44/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5917 - mean_absolute_error: 0.5917 - val_loss: 0.6223 - val_mean_absolute_error: 0.6223 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5853 - mean_absolute_error: 0.5853 - val_loss: 0.6158 - val_mean_absolute_error: 0.6158 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5801 - mean_absolute_error: 0.5801 - val_loss: 0.6103 - val_mean_absolute_error: 0.6103 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5751 - mean_absolute_error: 0.5751 - val_loss: 0.6048 - val_mean_absolute_error: 0.6048 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5711 - mean_absolute_error: 0.5711 - val_loss: 0.6005 - val_mean_absolute_error: 0.6005 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5669 - mean_absolute_error: 0.5669 - val_loss: 0.5946 - val_mean_absolute_error: 0.5946 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5625 - mean_absolute_error: 0.5625 - val_loss: 0.5908 - val_mean_absolute_error: 0.5908 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6138 - mean_absolute_error: 5.6138 - val_loss: 5.6005 - val_mean_absolute_error: 5.6005 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5733 - mean_absolute_error: 5.5733 - val_loss: 5.5636 - val_mean_absolute_error: 5.5636 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5391 - mean_absolute_error: 5.5391 - val_loss: 5.5323 - val_mean_absolute_error: 5.5323 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5099 - mean_absolute_error: 5.5099 - val_loss: 5.5052 - val_mean_absolute_error: 5.5052 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4846 - mean_absolute_error: 5.4846 - val_loss: 5.4816 - val_mean_absolute_error: 5.4816 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4624 - mean_absolute_error: 5.4624 - val_loss: 5.4608 - val_mean_absolute_error: 5.4608 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4428 - mean_absolute_error: 5.4428 - val_loss: 5.4422 - val_mean_absolute_error: 5.4422 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4251 - mean_absolute_error: 5.4251 - val_loss: 5.4254 - val_mean_absolute_error: 5.4254 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4091 - mean_absolute_error: 5.4091 - val_loss: 5.4100 - val_mean_absolute_error: 5.4100 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3944 - mean_absolute_error: 5.3944 - val_loss: 5.3959 - val_mean_absolute_error: 5.3959 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3808 - mean_absolute_error: 5.3808 - val_loss: 5.3829 - val_mean_absolute_error: 5.3829 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3683 - mean_absolute_error: 5.3683 - val_loss: 5.3707 - val_mean_absolute_error: 5.3707 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3566 - mean_absolute_error: 5.3566 - val_loss: 5.3594 - val_mean_absolute_error: 5.3594 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3456 - mean_absolute_error: 5.3456 - val_loss: 5.3487 - val_mean_absolute_error: 5.3487 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3352 - mean_absolute_error: 5.3352 - val_loss: 5.3386 - val_mean_absolute_error: 5.3386 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3255 - mean_absolute_error: 5.3255 - val_loss: 5.3291 - val_mean_absolute_error: 5.3291 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3162 - mean_absolute_error: 5.3162 - val_loss: 5.3201 - val_mean_absolute_error: 5.3201 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3074 - mean_absolute_error: 5.3074 - val_loss: 5.3115 - val_mean_absolute_error: 5.3115 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2990 - mean_absolute_error: 5.2990 - val_loss: 5.3033 - val_mean_absolute_error: 5.3033 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2910 - mean_absolute_error: 5.2910 - val_loss: 5.2954 - val_mean_absolute_error: 5.2954 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2834 - mean_absolute_error: 5.2834 - val_loss: 5.2879 - val_mean_absolute_error: 5.2879 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2761 - mean_absolute_error: 5.2761 - val_loss: 5.2807 - val_mean_absolute_error: 5.2807 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2690 - mean_absolute_error: 5.2690 - val_loss: 5.2738 - val_mean_absolute_error: 5.2738 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2623 - mean_absolute_error: 5.2623 - val_loss: 5.2671 - val_mean_absolute_error: 5.2671 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2557 - mean_absolute_error: 5.2557 - val_loss: 5.2607 - val_mean_absolute_error: 5.2607 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2495 - mean_absolute_error: 5.2495 - val_loss: 5.2545 - val_mean_absolute_error: 5.2545 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2434 - mean_absolute_error: 5.2434 - val_loss: 5.2485 - val_mean_absolute_error: 5.2485 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2375 - mean_absolute_error: 5.2375 - val_loss: 5.2427 - val_mean_absolute_error: 5.2427 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2318 - mean_absolute_error: 5.2318 - val_loss: 5.2371 - val_mean_absolute_error: 5.2371 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2263 - mean_absolute_error: 5.2263 - val_loss: 5.2316 - val_mean_absolute_error: 5.2316 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2209 - mean_absolute_error: 5.2209 - val_loss: 5.2263 - val_mean_absolute_error: 5.2263 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2157 - mean_absolute_error: 5.2157 - val_loss: 5.2212 - val_mean_absolute_error: 5.2212 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2107 - mean_absolute_error: 5.2107 - val_loss: 5.2162 - val_mean_absolute_error: 5.2162 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2057 - mean_absolute_error: 5.2057 - val_loss: 5.2113 - val_mean_absolute_error: 5.2113 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.2009 - mean_absolute_error: 5.2009 - val_loss: 5.2065 - val_mean_absolute_error: 5.2065 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1963 - mean_absolute_error: 5.1963 - val_loss: 5.2019 - val_mean_absolute_error: 5.2019 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1917 - mean_absolute_error: 5.1917 - val_loss: 5.1974 - val_mean_absolute_error: 5.1974 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1872 - mean_absolute_error: 5.1872 - val_loss: 5.1929 - val_mean_absolute_error: 5.1929 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1829 - mean_absolute_error: 5.1829 - val_loss: 5.1886 - val_mean_absolute_error: 5.1886 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1786 - mean_absolute_error: 5.1786 - val_loss: 5.1844 - val_mean_absolute_error: 5.1844 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1745 - mean_absolute_error: 5.1745 - val_loss: 5.1802 - val_mean_absolute_error: 5.1802 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1704 - mean_absolute_error: 5.1704 - val_loss: 5.1762 - val_mean_absolute_error: 5.1762 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1664 - mean_absolute_error: 5.1664 - val_loss: 5.1722 - val_mean_absolute_error: 5.1722 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1625 - mean_absolute_error: 5.1625 - val_loss: 5.1683 - val_mean_absolute_error: 5.1683 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1587 - mean_absolute_error: 5.1587 - val_loss: 5.1645 - val_mean_absolute_error: 5.1645 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1549 - mean_absolute_error: 5.1549 - val_loss: 5.1607 - val_mean_absolute_error: 5.1607 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1513 - mean_absolute_error: 5.1513 - val_loss: 5.1571 - val_mean_absolute_error: 5.1571 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1477 - mean_absolute_error: 5.1477 - val_loss: 5.1535 - val_mean_absolute_error: 5.1535 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1441 - mean_absolute_error: 5.1441 - val_loss: 5.1499 - val_mean_absolute_error: 5.1499 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1407 - mean_absolute_error: 5.1407 - val_loss: 5.1465 - val_mean_absolute_error: 5.1465 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5509 - mean_absolute_error: 5.5509 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5469 - mean_absolute_error: 5.5469 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5455 - mean_absolute_error: 5.5455 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5445 - mean_absolute_error: 5.5445 - val_loss: 5.5633 - val_mean_absolute_error: 5.5633 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5438 - mean_absolute_error: 5.5438 - val_loss: 5.5627 - val_mean_absolute_error: 5.5627 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5433 - mean_absolute_error: 5.5433 - val_loss: 5.5622 - val_mean_absolute_error: 5.5622 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5428 - mean_absolute_error: 5.5428 - val_loss: 5.5618 - val_mean_absolute_error: 5.5618 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5424 - mean_absolute_error: 5.5424 - val_loss: 5.5614 - val_mean_absolute_error: 5.5614 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5421 - mean_absolute_error: 5.5421 - val_loss: 5.5611 - val_mean_absolute_error: 5.5611 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5418 - mean_absolute_error: 5.5418 - val_loss: 5.5608 - val_mean_absolute_error: 5.5608 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5415 - mean_absolute_error: 5.5415 - val_loss: 5.5605 - val_mean_absolute_error: 5.5605 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5412 - mean_absolute_error: 5.5412 - val_loss: 5.5603 - val_mean_absolute_error: 5.5603 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5410 - mean_absolute_error: 5.5410 - val_loss: 5.5601 - val_mean_absolute_error: 5.5601 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5408 - mean_absolute_error: 5.5408 - val_loss: 5.5599 - val_mean_absolute_error: 5.5599 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5406 - mean_absolute_error: 5.5406 - val_loss: 5.5597 - val_mean_absolute_error: 5.5597 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5404 - mean_absolute_error: 5.5404 - val_loss: 5.5595 - val_mean_absolute_error: 5.5595 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5402 - mean_absolute_error: 5.5402 - val_loss: 5.5593 - val_mean_absolute_error: 5.5593 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5401 - mean_absolute_error: 5.5401 - val_loss: 5.5592 - val_mean_absolute_error: 5.5592 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5399 - mean_absolute_error: 5.5399 - val_loss: 5.5590 - val_mean_absolute_error: 5.5590 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5398 - mean_absolute_error: 5.5398 - val_loss: 5.5589 - val_mean_absolute_error: 5.5589 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5396 - mean_absolute_error: 5.5396 - val_loss: 5.5588 - val_mean_absolute_error: 5.5588 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5395 - mean_absolute_error: 5.5395 - val_loss: 5.5586 - val_mean_absolute_error: 5.5586 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5394 - mean_absolute_error: 5.5394 - val_loss: 5.5585 - val_mean_absolute_error: 5.5585 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5393 - mean_absolute_error: 5.5393 - val_loss: 5.5584 - val_mean_absolute_error: 5.5584 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5392 - mean_absolute_error: 5.5392 - val_loss: 5.5583 - val_mean_absolute_error: 5.5583 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5390 - mean_absolute_error: 5.5390 - val_loss: 5.5582 - val_mean_absolute_error: 5.5582 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5389 - mean_absolute_error: 5.5389 - val_loss: 5.5581 - val_mean_absolute_error: 5.5581 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5388 - mean_absolute_error: 5.5388 - val_loss: 5.5580 - val_mean_absolute_error: 5.5580 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5387 - mean_absolute_error: 5.5387 - val_loss: 5.5579 - val_mean_absolute_error: 5.5579 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5386 - mean_absolute_error: 5.5386 - val_loss: 5.5578 - val_mean_absolute_error: 5.5578 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5385 - mean_absolute_error: 5.5385 - val_loss: 5.5577 - val_mean_absolute_error: 5.5577 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5385 - mean_absolute_error: 5.5385 - val_loss: 5.5576 - val_mean_absolute_error: 5.5576 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5384 - mean_absolute_error: 5.5384 - val_loss: 5.5575 - val_mean_absolute_error: 5.5575 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5383 - mean_absolute_error: 5.5383 - val_loss: 5.5574 - val_mean_absolute_error: 5.5574 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5382 - mean_absolute_error: 5.5382 - val_loss: 5.5574 - val_mean_absolute_error: 5.5574 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5381 - mean_absolute_error: 5.5381 - val_loss: 5.5573 - val_mean_absolute_error: 5.5573 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5380 - mean_absolute_error: 5.5380 - val_loss: 5.5572 - val_mean_absolute_error: 5.5572 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5380 - mean_absolute_error: 5.5380 - val_loss: 5.5571 - val_mean_absolute_error: 5.5571 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5379 - mean_absolute_error: 5.5379 - val_loss: 5.5571 - val_mean_absolute_error: 5.5571 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5378 - mean_absolute_error: 5.5378 - val_loss: 5.5570 - val_mean_absolute_error: 5.5570 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5378 - mean_absolute_error: 5.5378 - val_loss: 5.5569 - val_mean_absolute_error: 5.5569 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5377 - mean_absolute_error: 5.5377 - val_loss: 5.5569 - val_mean_absolute_error: 5.5569 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5376 - mean_absolute_error: 5.5376 - val_loss: 5.5568 - val_mean_absolute_error: 5.5568 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5376 - mean_absolute_error: 5.5376 - val_loss: 5.5567 - val_mean_absolute_error: 5.5567 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5375 - mean_absolute_error: 5.5375 - val_loss: 5.5567 - val_mean_absolute_error: 5.5567 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5374 - mean_absolute_error: 5.5374 - val_loss: 5.5566 - val_mean_absolute_error: 5.5566 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5374 - mean_absolute_error: 5.5374 - val_loss: 5.5566 - val_mean_absolute_error: 5.5566 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5373 - mean_absolute_error: 5.5373 - val_loss: 5.5565 - val_mean_absolute_error: 5.5565 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5373 - mean_absolute_error: 5.5373 - val_loss: 5.5564 - val_mean_absolute_error: 5.5564 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5372 - mean_absolute_error: 5.5372 - val_loss: 5.5564 - val_mean_absolute_error: 5.5564 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4411 - mean_absolute_error: 5.4411 - val_loss: 5.0708 - val_mean_absolute_error: 5.0708 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6297 - mean_absolute_error: 4.6297 - val_loss: 4.1745 - val_mean_absolute_error: 4.1745 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6446 - mean_absolute_error: 3.6446 - val_loss: 3.0313 - val_mean_absolute_error: 3.0313 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1050 - mean_absolute_error: 2.1050 - val_loss: 0.7277 - val_mean_absolute_error: 0.7277 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5921 - mean_absolute_error: 0.5921 - val_loss: 0.5874 - val_mean_absolute_error: 0.5874 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5437 - mean_absolute_error: 0.5437 - val_loss: 0.5597 - val_mean_absolute_error: 0.5597 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5312 - mean_absolute_error: 0.5312 - val_loss: 0.5561 - val_mean_absolute_error: 0.5561 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5437 - val_mean_absolute_error: 0.5437 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5132 - mean_absolute_error: 0.5132 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5092 - mean_absolute_error: 0.5092 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5364 - val_mean_absolute_error: 0.5364 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5263 - val_mean_absolute_error: 0.5263 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4899 - mean_absolute_error: 0.4899 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4895 - mean_absolute_error: 0.4895 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4821 - mean_absolute_error: 0.4821 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 3.1482 - mean_absolute_error: 3.1482 - val_loss: 1.6781 - val_mean_absolute_error: 1.6781 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2025 - mean_absolute_error: 1.2025 - val_loss: 1.0199 - val_mean_absolute_error: 1.0199 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8189 - mean_absolute_error: 0.8189 - val_loss: 0.8113 - val_mean_absolute_error: 0.8113 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.7264 - val_mean_absolute_error: 0.7264 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6260 - mean_absolute_error: 0.6260 - val_loss: 0.6694 - val_mean_absolute_error: 0.6694 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5914 - mean_absolute_error: 0.5914 - val_loss: 0.6371 - val_mean_absolute_error: 0.6371 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5681 - mean_absolute_error: 0.5681 - val_loss: 0.6166 - val_mean_absolute_error: 0.6166 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5533 - mean_absolute_error: 0.5533 - val_loss: 0.6090 - val_mean_absolute_error: 0.6090 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5480 - mean_absolute_error: 0.5480 - val_loss: 0.5948 - val_mean_absolute_error: 0.5948 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5396 - mean_absolute_error: 0.5396 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5363 - mean_absolute_error: 0.5363 - val_loss: 0.5832 - val_mean_absolute_error: 0.5832 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5290 - mean_absolute_error: 0.5290 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5242 - mean_absolute_error: 0.5242 - val_loss: 0.5709 - val_mean_absolute_error: 0.5709 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5701 - val_mean_absolute_error: 0.5701 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5629 - val_mean_absolute_error: 0.5629 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5639 - val_mean_absolute_error: 0.5639 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5590 - val_mean_absolute_error: 0.5590 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5137 - mean_absolute_error: 0.5137 - val_loss: 0.5569 - val_mean_absolute_error: 0.5569 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5119 - mean_absolute_error: 0.5119 - val_loss: 0.5569 - val_mean_absolute_error: 0.5569 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5572 - val_mean_absolute_error: 0.5572 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5546 - val_mean_absolute_error: 0.5546 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5086 - mean_absolute_error: 0.5086 - val_loss: 0.5518 - val_mean_absolute_error: 0.5518 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5511 - val_mean_absolute_error: 0.5511 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5067 - mean_absolute_error: 0.5067 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5049 - mean_absolute_error: 0.5049 - val_loss: 0.5467 - val_mean_absolute_error: 0.5467 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5452 - val_mean_absolute_error: 0.5452 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5460 - val_mean_absolute_error: 0.5460 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5031 - mean_absolute_error: 0.5031 - val_loss: 0.5442 - val_mean_absolute_error: 0.5442 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5434 - val_mean_absolute_error: 0.5434 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5432 - val_mean_absolute_error: 0.5432 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5421 - val_mean_absolute_error: 0.5421 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5425 - val_mean_absolute_error: 0.5425 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5406 - val_mean_absolute_error: 0.5406 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5399 - val_mean_absolute_error: 0.5399 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4992 - mean_absolute_error: 0.4992 - val_loss: 0.5389 - val_mean_absolute_error: 0.5389 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5392 - val_mean_absolute_error: 0.5392 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5011 - mean_absolute_error: 0.5011 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5371 - val_mean_absolute_error: 0.5371 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5372 - val_mean_absolute_error: 0.5372 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.7093 - mean_absolute_error: 4.7093 - val_loss: 4.4044 - val_mean_absolute_error: 4.4044 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2342 - mean_absolute_error: 4.2342 - val_loss: 4.1452 - val_mean_absolute_error: 4.1452 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0259 - mean_absolute_error: 4.0259 - val_loss: 3.9839 - val_mean_absolute_error: 3.9839 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8815 - mean_absolute_error: 3.8815 - val_loss: 3.8611 - val_mean_absolute_error: 3.8611 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7679 - mean_absolute_error: 3.7679 - val_loss: 3.7627 - val_mean_absolute_error: 3.7627 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6746 - mean_absolute_error: 3.6746 - val_loss: 3.6791 - val_mean_absolute_error: 3.6791 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5936 - mean_absolute_error: 3.5936 - val_loss: 3.6058 - val_mean_absolute_error: 3.6058 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5226 - mean_absolute_error: 3.5226 - val_loss: 3.5405 - val_mean_absolute_error: 3.5405 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4599 - mean_absolute_error: 3.4599 - val_loss: 3.4826 - val_mean_absolute_error: 3.4826 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4045 - mean_absolute_error: 3.4045 - val_loss: 3.4299 - val_mean_absolute_error: 3.4299 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3546 - mean_absolute_error: 3.3546 - val_loss: 3.3815 - val_mean_absolute_error: 3.3815 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3088 - mean_absolute_error: 3.3088 - val_loss: 3.3364 - val_mean_absolute_error: 3.3364 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2661 - mean_absolute_error: 3.2661 - val_loss: 3.2946 - val_mean_absolute_error: 3.2946 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2273 - mean_absolute_error: 3.2273 - val_loss: 3.2558 - val_mean_absolute_error: 3.2558 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1909 - mean_absolute_error: 3.1909 - val_loss: 3.2199 - val_mean_absolute_error: 3.2199 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1574 - mean_absolute_error: 3.1574 - val_loss: 3.1865 - val_mean_absolute_error: 3.1865 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1262 - mean_absolute_error: 3.1262 - val_loss: 3.1553 - val_mean_absolute_error: 3.1553 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0967 - mean_absolute_error: 3.0967 - val_loss: 3.1263 - val_mean_absolute_error: 3.1263 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0695 - mean_absolute_error: 3.0695 - val_loss: 3.0993 - val_mean_absolute_error: 3.0993 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0440 - mean_absolute_error: 3.0440 - val_loss: 3.0737 - val_mean_absolute_error: 3.0737 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0197 - mean_absolute_error: 3.0197 - val_loss: 3.0500 - val_mean_absolute_error: 3.0500 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9972 - mean_absolute_error: 2.9972 - val_loss: 3.0275 - val_mean_absolute_error: 3.0275 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9758 - mean_absolute_error: 2.9758 - val_loss: 3.0061 - val_mean_absolute_error: 3.0061 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9552 - mean_absolute_error: 2.9552 - val_loss: 2.9851 - val_mean_absolute_error: 2.9851 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9354 - mean_absolute_error: 2.9354 - val_loss: 2.9653 - val_mean_absolute_error: 2.9653 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9165 - mean_absolute_error: 2.9165 - val_loss: 2.9461 - val_mean_absolute_error: 2.9461 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8983 - mean_absolute_error: 2.8983 - val_loss: 2.9276 - val_mean_absolute_error: 2.9276 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8809 - mean_absolute_error: 2.8809 - val_loss: 2.9098 - val_mean_absolute_error: 2.9098 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8642 - mean_absolute_error: 2.8642 - val_loss: 2.8927 - val_mean_absolute_error: 2.8927 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8483 - mean_absolute_error: 2.8483 - val_loss: 2.8765 - val_mean_absolute_error: 2.8765 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8329 - mean_absolute_error: 2.8329 - val_loss: 2.8606 - val_mean_absolute_error: 2.8606 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8178 - mean_absolute_error: 2.8178 - val_loss: 2.8454 - val_mean_absolute_error: 2.8454 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8034 - mean_absolute_error: 2.8034 - val_loss: 2.8306 - val_mean_absolute_error: 2.8306 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7894 - mean_absolute_error: 2.7894 - val_loss: 2.8162 - val_mean_absolute_error: 2.8162 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7758 - mean_absolute_error: 2.7758 - val_loss: 2.8024 - val_mean_absolute_error: 2.8024 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7625 - mean_absolute_error: 2.7625 - val_loss: 2.7890 - val_mean_absolute_error: 2.7890 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7496 - mean_absolute_error: 2.7496 - val_loss: 2.7758 - val_mean_absolute_error: 2.7758 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7370 - mean_absolute_error: 2.7370 - val_loss: 2.7633 - val_mean_absolute_error: 2.7633 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7247 - mean_absolute_error: 2.7247 - val_loss: 2.7508 - val_mean_absolute_error: 2.7508 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7127 - mean_absolute_error: 2.7127 - val_loss: 2.7392 - val_mean_absolute_error: 2.7392 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7011 - mean_absolute_error: 2.7011 - val_loss: 2.7276 - val_mean_absolute_error: 2.7276 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6897 - mean_absolute_error: 2.6897 - val_loss: 2.7163 - val_mean_absolute_error: 2.7163 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6785 - mean_absolute_error: 2.6785 - val_loss: 2.7055 - val_mean_absolute_error: 2.7055 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6676 - mean_absolute_error: 2.6676 - val_loss: 2.6948 - val_mean_absolute_error: 2.6948 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6569 - mean_absolute_error: 2.6569 - val_loss: 2.6844 - val_mean_absolute_error: 2.6844 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6465 - mean_absolute_error: 2.6465 - val_loss: 2.6743 - val_mean_absolute_error: 2.6743 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6362 - mean_absolute_error: 2.6362 - val_loss: 2.6643 - val_mean_absolute_error: 2.6643 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6262 - mean_absolute_error: 2.6262 - val_loss: 2.6546 - val_mean_absolute_error: 2.6546 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6164 - mean_absolute_error: 2.6164 - val_loss: 2.6452 - val_mean_absolute_error: 2.6452 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6067 - mean_absolute_error: 2.6067 - val_loss: 2.6358 - val_mean_absolute_error: 2.6358 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6120 - mean_absolute_error: 5.6120 - val_loss: 5.5739 - val_mean_absolute_error: 5.5739 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3459 - mean_absolute_error: 5.3459 - val_loss: 5.0816 - val_mean_absolute_error: 5.0816 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8068 - mean_absolute_error: 4.8068 - val_loss: 4.4795 - val_mean_absolute_error: 4.4795 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 3.6068 - mean_absolute_error: 3.6068 - val_loss: 1.8040 - val_mean_absolute_error: 1.8040 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0732 - mean_absolute_error: 1.0732 - val_loss: 0.8678 - val_mean_absolute_error: 0.8678 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7408 - mean_absolute_error: 0.7408 - val_loss: 0.7026 - val_mean_absolute_error: 0.7026 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6235 - mean_absolute_error: 0.6235 - val_loss: 0.6151 - val_mean_absolute_error: 0.6151 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5662 - mean_absolute_error: 0.5662 - val_loss: 0.5827 - val_mean_absolute_error: 0.5827 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5390 - mean_absolute_error: 0.5390 - val_loss: 0.5597 - val_mean_absolute_error: 0.5597 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5217 - mean_absolute_error: 0.5217 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5138 - mean_absolute_error: 0.5138 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5085 - mean_absolute_error: 0.5085 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5042 - mean_absolute_error: 0.5042 - val_loss: 0.5238 - val_mean_absolute_error: 0.5238 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5245 - val_mean_absolute_error: 0.5245 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4867 - mean_absolute_error: 0.4867 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mean_absolute_error: 0.4868 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4819 - mean_absolute_error: 0.4819 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.4670 - mean_absolute_error: 5.4670 - val_loss: 5.2306 - val_mean_absolute_error: 5.2306 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9944 - mean_absolute_error: 4.9944 - val_loss: 4.7251 - val_mean_absolute_error: 4.7251 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4245 - mean_absolute_error: 4.4245 - val_loss: 4.0476 - val_mean_absolute_error: 4.0476 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5397 - mean_absolute_error: 3.5397 - val_loss: 2.8483 - val_mean_absolute_error: 2.8483 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9902 - mean_absolute_error: 1.9902 - val_loss: 1.4583 - val_mean_absolute_error: 1.4583 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1493 - mean_absolute_error: 1.1493 - val_loss: 1.1852 - val_mean_absolute_error: 1.1852 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9622 - mean_absolute_error: 0.9622 - val_loss: 1.0238 - val_mean_absolute_error: 1.0238 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8547 - mean_absolute_error: 0.8547 - val_loss: 0.9148 - val_mean_absolute_error: 0.9148 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7808 - mean_absolute_error: 0.7808 - val_loss: 0.8376 - val_mean_absolute_error: 0.8376 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7266 - mean_absolute_error: 0.7266 - val_loss: 0.7810 - val_mean_absolute_error: 0.7810 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6870 - mean_absolute_error: 0.6870 - val_loss: 0.7354 - val_mean_absolute_error: 0.7354 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6565 - mean_absolute_error: 0.6565 - val_loss: 0.7014 - val_mean_absolute_error: 0.7014 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6338 - mean_absolute_error: 0.6338 - val_loss: 0.6747 - val_mean_absolute_error: 0.6747 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6154 - mean_absolute_error: 0.6154 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6001 - mean_absolute_error: 0.6001 - val_loss: 0.6361 - val_mean_absolute_error: 0.6361 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5878 - mean_absolute_error: 0.5878 - val_loss: 0.6219 - val_mean_absolute_error: 0.6219 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5783 - mean_absolute_error: 0.5783 - val_loss: 0.6091 - val_mean_absolute_error: 0.6091 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5694 - mean_absolute_error: 0.5694 - val_loss: 0.5991 - val_mean_absolute_error: 0.5991 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5626 - mean_absolute_error: 0.5626 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5552 - mean_absolute_error: 0.5552 - val_loss: 0.5831 - val_mean_absolute_error: 0.5831 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5502 - mean_absolute_error: 0.5502 - val_loss: 0.5763 - val_mean_absolute_error: 0.5763 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5441 - mean_absolute_error: 0.5441 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5396 - mean_absolute_error: 0.5396 - val_loss: 0.5663 - val_mean_absolute_error: 0.5663 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5357 - mean_absolute_error: 0.5357 - val_loss: 0.5625 - val_mean_absolute_error: 0.5625 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.5589 - val_mean_absolute_error: 0.5589 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5295 - mean_absolute_error: 0.5295 - val_loss: 0.5557 - val_mean_absolute_error: 0.5557 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.5527 - val_mean_absolute_error: 0.5527 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.5498 - val_mean_absolute_error: 0.5498 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5454 - val_mean_absolute_error: 0.5454 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5182 - mean_absolute_error: 0.5182 - val_loss: 0.5430 - val_mean_absolute_error: 0.5430 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5166 - mean_absolute_error: 0.5166 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5138 - mean_absolute_error: 0.5138 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5128 - mean_absolute_error: 0.5128 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5343 - val_mean_absolute_error: 0.5343 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5330 - val_mean_absolute_error: 0.5330 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5088 - mean_absolute_error: 0.5088 - val_loss: 0.5327 - val_mean_absolute_error: 0.5327 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5083 - mean_absolute_error: 0.5083 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5073 - mean_absolute_error: 0.5073 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5062 - mean_absolute_error: 0.5062 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5050 - mean_absolute_error: 0.5050 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5046 - mean_absolute_error: 0.5046 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5038 - mean_absolute_error: 0.5038 - val_loss: 0.5271 - val_mean_absolute_error: 0.5271 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5030 - mean_absolute_error: 0.5030 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 5.5795 - mean_absolute_error: 5.5795 - val_loss: 5.5706 - val_mean_absolute_error: 5.5706 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5579 - mean_absolute_error: 5.5579 - val_loss: 5.5601 - val_mean_absolute_error: 5.5601 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5499 - mean_absolute_error: 5.5499 - val_loss: 5.5540 - val_mean_absolute_error: 5.5540 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5448 - mean_absolute_error: 5.5448 - val_loss: 5.5496 - val_mean_absolute_error: 5.5496 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5410 - mean_absolute_error: 5.5410 - val_loss: 5.5462 - val_mean_absolute_error: 5.5462 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5379 - mean_absolute_error: 5.5379 - val_loss: 5.5435 - val_mean_absolute_error: 5.5435 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5354 - mean_absolute_error: 5.5354 - val_loss: 5.5411 - val_mean_absolute_error: 5.5411 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5332 - mean_absolute_error: 5.5332 - val_loss: 5.5391 - val_mean_absolute_error: 5.5391 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5313 - mean_absolute_error: 5.5313 - val_loss: 5.5373 - val_mean_absolute_error: 5.5373 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5296 - mean_absolute_error: 5.5296 - val_loss: 5.5357 - val_mean_absolute_error: 5.5357 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5281 - mean_absolute_error: 5.5281 - val_loss: 5.5342 - val_mean_absolute_error: 5.5342 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5267 - mean_absolute_error: 5.5267 - val_loss: 5.5329 - val_mean_absolute_error: 5.5329 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5255 - mean_absolute_error: 5.5255 - val_loss: 5.5316 - val_mean_absolute_error: 5.5316 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5243 - mean_absolute_error: 5.5243 - val_loss: 5.5305 - val_mean_absolute_error: 5.5305 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5232 - mean_absolute_error: 5.5232 - val_loss: 5.5295 - val_mean_absolute_error: 5.5295 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5222 - mean_absolute_error: 5.5222 - val_loss: 5.5285 - val_mean_absolute_error: 5.5285 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5212 - mean_absolute_error: 5.5212 - val_loss: 5.5275 - val_mean_absolute_error: 5.5275 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5203 - mean_absolute_error: 5.5203 - val_loss: 5.5266 - val_mean_absolute_error: 5.5266 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5195 - mean_absolute_error: 5.5195 - val_loss: 5.5258 - val_mean_absolute_error: 5.5258 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5187 - mean_absolute_error: 5.5187 - val_loss: 5.5250 - val_mean_absolute_error: 5.5250 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5179 - mean_absolute_error: 5.5179 - val_loss: 5.5243 - val_mean_absolute_error: 5.5243 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5172 - mean_absolute_error: 5.5172 - val_loss: 5.5235 - val_mean_absolute_error: 5.5235 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5165 - mean_absolute_error: 5.5165 - val_loss: 5.5229 - val_mean_absolute_error: 5.5229 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5158 - mean_absolute_error: 5.5158 - val_loss: 5.5222 - val_mean_absolute_error: 5.5222 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5152 - mean_absolute_error: 5.5152 - val_loss: 5.5216 - val_mean_absolute_error: 5.5216 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5146 - mean_absolute_error: 5.5146 - val_loss: 5.5210 - val_mean_absolute_error: 5.5210 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5140 - mean_absolute_error: 5.5140 - val_loss: 5.5204 - val_mean_absolute_error: 5.5204 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5134 - mean_absolute_error: 5.5134 - val_loss: 5.5198 - val_mean_absolute_error: 5.5198 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5129 - mean_absolute_error: 5.5129 - val_loss: 5.5193 - val_mean_absolute_error: 5.5193 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5124 - mean_absolute_error: 5.5124 - val_loss: 5.5187 - val_mean_absolute_error: 5.5187 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5119 - mean_absolute_error: 5.5119 - val_loss: 5.5182 - val_mean_absolute_error: 5.5182 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5114 - mean_absolute_error: 5.5114 - val_loss: 5.5177 - val_mean_absolute_error: 5.5177 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5109 - mean_absolute_error: 5.5109 - val_loss: 5.5172 - val_mean_absolute_error: 5.5172 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5104 - mean_absolute_error: 5.5104 - val_loss: 5.5168 - val_mean_absolute_error: 5.5168 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5100 - mean_absolute_error: 5.5100 - val_loss: 5.5163 - val_mean_absolute_error: 5.5163 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5095 - mean_absolute_error: 5.5095 - val_loss: 5.5159 - val_mean_absolute_error: 5.5159 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5091 - mean_absolute_error: 5.5091 - val_loss: 5.5155 - val_mean_absolute_error: 5.5155 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5087 - mean_absolute_error: 5.5087 - val_loss: 5.5151 - val_mean_absolute_error: 5.5151 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5083 - mean_absolute_error: 5.5083 - val_loss: 5.5147 - val_mean_absolute_error: 5.5147 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5079 - mean_absolute_error: 5.5079 - val_loss: 5.5143 - val_mean_absolute_error: 5.5143 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5075 - mean_absolute_error: 5.5075 - val_loss: 5.5139 - val_mean_absolute_error: 5.5139 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5071 - mean_absolute_error: 5.5071 - val_loss: 5.5135 - val_mean_absolute_error: 5.5135 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5068 - mean_absolute_error: 5.5068 - val_loss: 5.5131 - val_mean_absolute_error: 5.5131 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5064 - mean_absolute_error: 5.5064 - val_loss: 5.5128 - val_mean_absolute_error: 5.5128 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5061 - mean_absolute_error: 5.5061 - val_loss: 5.5124 - val_mean_absolute_error: 5.5124 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5057 - mean_absolute_error: 5.5057 - val_loss: 5.5121 - val_mean_absolute_error: 5.5121 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5054 - mean_absolute_error: 5.5054 - val_loss: 5.5117 - val_mean_absolute_error: 5.5117 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5051 - mean_absolute_error: 5.5051 - val_loss: 5.5114 - val_mean_absolute_error: 5.5114 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5047 - mean_absolute_error: 5.5047 - val_loss: 5.5111 - val_mean_absolute_error: 5.5111 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5044 - mean_absolute_error: 5.5044 - val_loss: 5.5108 - val_mean_absolute_error: 5.5108 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.2687 - mean_absolute_error: 5.2687 - val_loss: 4.6944 - val_mean_absolute_error: 4.6944 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9157 - mean_absolute_error: 2.9157 - val_loss: 1.5265 - val_mean_absolute_error: 1.5265 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2394 - mean_absolute_error: 1.2394 - val_loss: 1.0993 - val_mean_absolute_error: 1.0993 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9178 - mean_absolute_error: 0.9178 - val_loss: 0.8765 - val_mean_absolute_error: 0.8765 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7586 - mean_absolute_error: 0.7586 - val_loss: 0.7471 - val_mean_absolute_error: 0.7471 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6727 - val_mean_absolute_error: 0.6727 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6140 - mean_absolute_error: 0.6140 - val_loss: 0.6331 - val_mean_absolute_error: 0.6331 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5841 - mean_absolute_error: 0.5841 - val_loss: 0.6034 - val_mean_absolute_error: 0.6034 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5652 - mean_absolute_error: 0.5652 - val_loss: 0.5843 - val_mean_absolute_error: 0.5843 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5553 - mean_absolute_error: 0.5553 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5440 - mean_absolute_error: 0.5440 - val_loss: 0.5636 - val_mean_absolute_error: 0.5636 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5364 - mean_absolute_error: 0.5364 - val_loss: 0.5685 - val_mean_absolute_error: 0.5685 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5505 - val_mean_absolute_error: 0.5505 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5479 - val_mean_absolute_error: 0.5479 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5410 - val_mean_absolute_error: 0.5410 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5172 - mean_absolute_error: 0.5172 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5398 - val_mean_absolute_error: 0.5398 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5462 - val_mean_absolute_error: 0.5462 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5137 - mean_absolute_error: 0.5137 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5085 - mean_absolute_error: 0.5085 - val_loss: 0.5261 - val_mean_absolute_error: 0.5261 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5062 - mean_absolute_error: 0.5062 - val_loss: 0.5230 - val_mean_absolute_error: 0.5230 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5116 - mean_absolute_error: 0.5116 - val_loss: 0.5241 - val_mean_absolute_error: 0.5241 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.5478 - val_mean_absolute_error: 0.5478 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4980 - mean_absolute_error: 0.4980 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4972 - mean_absolute_error: 0.4972 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4963 - mean_absolute_error: 0.4963 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5218 - val_mean_absolute_error: 0.5218 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4940 - mean_absolute_error: 0.4940 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4924 - mean_absolute_error: 0.4924 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5241 - val_mean_absolute_error: 0.5241 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6259 - mean_absolute_error: 5.6259 - val_loss: 5.6146 - val_mean_absolute_error: 5.6146 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5318 - val_mean_absolute_error: 5.5318 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4594 - mean_absolute_error: 5.4594 - val_loss: 5.4035 - val_mean_absolute_error: 5.4035 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3104 - mean_absolute_error: 5.3104 - val_loss: 5.2403 - val_mean_absolute_error: 5.2403 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1271 - mean_absolute_error: 5.1271 - val_loss: 5.0470 - val_mean_absolute_error: 5.0470 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9312 - mean_absolute_error: 4.9312 - val_loss: 4.8464 - val_mean_absolute_error: 4.8464 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.7366 - mean_absolute_error: 4.7366 - val_loss: 4.6557 - val_mean_absolute_error: 4.6557 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5542 - mean_absolute_error: 4.5542 - val_loss: 4.4789 - val_mean_absolute_error: 4.4789 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3826 - mean_absolute_error: 4.3826 - val_loss: 4.3112 - val_mean_absolute_error: 4.3112 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 4.2191 - mean_absolute_error: 4.2191 - val_loss: 4.1503 - val_mean_absolute_error: 4.1503 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 4.0606 - mean_absolute_error: 4.0606 - val_loss: 3.9931 - val_mean_absolute_error: 3.9931 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 3.9050 - mean_absolute_error: 3.9050 - val_loss: 3.8380 - val_mean_absolute_error: 3.8380 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 3.7508 - mean_absolute_error: 3.7508 - val_loss: 3.6841 - val_mean_absolute_error: 3.6841 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 3.5971 - mean_absolute_error: 3.5971 - val_loss: 3.5303 - val_mean_absolute_error: 3.5303 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4432 - mean_absolute_error: 3.4432 - val_loss: 3.3760 - val_mean_absolute_error: 3.3760 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2885 - mean_absolute_error: 3.2885 - val_loss: 3.2206 - val_mean_absolute_error: 3.2206 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1325 - mean_absolute_error: 3.1325 - val_loss: 3.0638 - val_mean_absolute_error: 3.0638 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9749 - mean_absolute_error: 2.9749 - val_loss: 2.9052 - val_mean_absolute_error: 2.9052 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8154 - mean_absolute_error: 2.8154 - val_loss: 2.7446 - val_mean_absolute_error: 2.7446 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6537 - mean_absolute_error: 2.6537 - val_loss: 2.5821 - val_mean_absolute_error: 2.5821 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4915 - mean_absolute_error: 2.4915 - val_loss: 2.4206 - val_mean_absolute_error: 2.4206 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3281 - mean_absolute_error: 2.3281 - val_loss: 2.2567 - val_mean_absolute_error: 2.2567 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1620 - mean_absolute_error: 2.1620 - val_loss: 2.0900 - val_mean_absolute_error: 2.0900 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9929 - mean_absolute_error: 1.9929 - val_loss: 1.9203 - val_mean_absolute_error: 1.9203 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8208 - mean_absolute_error: 1.8208 - val_loss: 1.7475 - val_mean_absolute_error: 1.7475 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6503 - mean_absolute_error: 1.6503 - val_loss: 1.5786 - val_mean_absolute_error: 1.5786 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4895 - mean_absolute_error: 1.4895 - val_loss: 1.4209 - val_mean_absolute_error: 1.4209 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3310 - mean_absolute_error: 1.3310 - val_loss: 1.2609 - val_mean_absolute_error: 1.2609 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1694 - mean_absolute_error: 1.1694 - val_loss: 1.0990 - val_mean_absolute_error: 1.0990 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0050 - mean_absolute_error: 1.0050 - val_loss: 0.9362 - val_mean_absolute_error: 0.9362 Epoch 31/50 35/35 [==============================] - 0s 3ms/step - loss: 0.8503 - mean_absolute_error: 0.8503 - val_loss: 0.8002 - val_mean_absolute_error: 0.8002 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7426 - mean_absolute_error: 0.7426 - val_loss: 0.7279 - val_mean_absolute_error: 0.7279 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.6922 - val_mean_absolute_error: 0.6922 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6689 - mean_absolute_error: 0.6689 - val_loss: 0.6855 - val_mean_absolute_error: 0.6855 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6817 - val_mean_absolute_error: 0.6817 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6786 - val_mean_absolute_error: 0.6786 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6591 - mean_absolute_error: 0.6591 - val_loss: 0.6751 - val_mean_absolute_error: 0.6751 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6562 - mean_absolute_error: 0.6562 - val_loss: 0.6719 - val_mean_absolute_error: 0.6719 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6534 - mean_absolute_error: 0.6534 - val_loss: 0.6686 - val_mean_absolute_error: 0.6686 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6506 - mean_absolute_error: 0.6506 - val_loss: 0.6655 - val_mean_absolute_error: 0.6655 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6477 - mean_absolute_error: 0.6477 - val_loss: 0.6623 - val_mean_absolute_error: 0.6623 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6449 - mean_absolute_error: 0.6449 - val_loss: 0.6591 - val_mean_absolute_error: 0.6591 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6421 - mean_absolute_error: 0.6421 - val_loss: 0.6559 - val_mean_absolute_error: 0.6559 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6393 - mean_absolute_error: 0.6393 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6365 - mean_absolute_error: 0.6365 - val_loss: 0.6496 - val_mean_absolute_error: 0.6496 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6336 - mean_absolute_error: 0.6336 - val_loss: 0.6466 - val_mean_absolute_error: 0.6466 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6309 - mean_absolute_error: 0.6309 - val_loss: 0.6437 - val_mean_absolute_error: 0.6437 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6283 - mean_absolute_error: 0.6283 - val_loss: 0.6407 - val_mean_absolute_error: 0.6407 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6257 - mean_absolute_error: 0.6257 - val_loss: 0.6379 - val_mean_absolute_error: 0.6379 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6231 - mean_absolute_error: 0.6231 - val_loss: 0.6351 - val_mean_absolute_error: 0.6351 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417
def Adam(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=l, decay=d)
model1.compile(optimizer=adam,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data5 = Adam('Adam')
Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 2.1371 - mean_absolute_error: 2.1371 - val_loss: 1.1961 - val_mean_absolute_error: 1.1961 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9022 - mean_absolute_error: 0.9022 - val_loss: 0.8248 - val_mean_absolute_error: 0.8248 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6776 - mean_absolute_error: 0.6776 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5799 - mean_absolute_error: 0.5799 - val_loss: 0.5831 - val_mean_absolute_error: 0.5831 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5130 - mean_absolute_error: 0.5130 - val_loss: 0.5559 - val_mean_absolute_error: 0.5559 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5123 - mean_absolute_error: 0.5123 - val_loss: 0.5500 - val_mean_absolute_error: 0.5500 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5230 - val_mean_absolute_error: 0.5230 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5954 - val_mean_absolute_error: 0.5954 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5213 - val_mean_absolute_error: 0.5213 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5977 - val_mean_absolute_error: 0.5977 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4835 - val_mean_absolute_error: 0.4835 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4829 - mean_absolute_error: 0.4829 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4785 - mean_absolute_error: 0.4785 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5173 - val_mean_absolute_error: 0.5173 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4592 - mean_absolute_error: 0.4592 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.8140 - mean_absolute_error: 3.8140 - val_loss: 1.9859 - val_mean_absolute_error: 1.9859 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0033 - mean_absolute_error: 1.0033 - val_loss: 0.7348 - val_mean_absolute_error: 0.7348 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6288 - mean_absolute_error: 0.6288 - val_loss: 0.6189 - val_mean_absolute_error: 0.6189 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5379 - mean_absolute_error: 0.5379 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5557 - val_mean_absolute_error: 0.5557 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5049 - mean_absolute_error: 0.5049 - val_loss: 0.5468 - val_mean_absolute_error: 0.5468 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5110 - mean_absolute_error: 0.5110 - val_loss: 0.5542 - val_mean_absolute_error: 0.5542 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5426 - mean_absolute_error: 0.5426 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5238 - val_mean_absolute_error: 0.5238 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5410 - val_mean_absolute_error: 0.5410 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4892 - mean_absolute_error: 0.4892 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5011 - mean_absolute_error: 0.5011 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.6130 - val_mean_absolute_error: 0.6130 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5176 - val_mean_absolute_error: 0.5176 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5054 - mean_absolute_error: 0.5054 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.5331 - val_mean_absolute_error: 0.5331 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5392 - val_mean_absolute_error: 0.5392 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4599 - mean_absolute_error: 0.4599 - val_loss: 0.5132 - val_mean_absolute_error: 0.5132 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5418 - val_mean_absolute_error: 0.5418 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4621 - mean_absolute_error: 0.4621 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.5269 - val_mean_absolute_error: 0.5269 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.6076 - val_mean_absolute_error: 0.6076 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6327 - mean_absolute_error: 5.6327 - val_loss: 5.6381 - val_mean_absolute_error: 5.6381 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6275 - mean_absolute_error: 5.6275 - val_loss: 5.6331 - val_mean_absolute_error: 5.6331 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6232 - mean_absolute_error: 5.6232 - val_loss: 5.6297 - val_mean_absolute_error: 5.6297 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6202 - mean_absolute_error: 5.6202 - val_loss: 5.6269 - val_mean_absolute_error: 5.6269 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6180 - mean_absolute_error: 5.6180 - val_loss: 5.6247 - val_mean_absolute_error: 5.6247 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6162 - mean_absolute_error: 5.6162 - val_loss: 5.6226 - val_mean_absolute_error: 5.6226 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6146 - mean_absolute_error: 5.6146 - val_loss: 5.6207 - val_mean_absolute_error: 5.6207 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6131 - mean_absolute_error: 5.6131 - val_loss: 5.6191 - val_mean_absolute_error: 5.6191 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6118 - mean_absolute_error: 5.6118 - val_loss: 5.6177 - val_mean_absolute_error: 5.6177 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6105 - mean_absolute_error: 5.6105 - val_loss: 5.6163 - val_mean_absolute_error: 5.6163 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6093 - mean_absolute_error: 5.6093 - val_loss: 5.6151 - val_mean_absolute_error: 5.6151 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6082 - mean_absolute_error: 5.6082 - val_loss: 5.6139 - val_mean_absolute_error: 5.6139 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6071 - mean_absolute_error: 5.6071 - val_loss: 5.6127 - val_mean_absolute_error: 5.6127 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6061 - mean_absolute_error: 5.6061 - val_loss: 5.6117 - val_mean_absolute_error: 5.6117 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6052 - mean_absolute_error: 5.6052 - val_loss: 5.6107 - val_mean_absolute_error: 5.6107 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6043 - mean_absolute_error: 5.6043 - val_loss: 5.6097 - val_mean_absolute_error: 5.6097 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6034 - mean_absolute_error: 5.6034 - val_loss: 5.6088 - val_mean_absolute_error: 5.6088 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6025 - mean_absolute_error: 5.6025 - val_loss: 5.6078 - val_mean_absolute_error: 5.6078 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6016 - mean_absolute_error: 5.6016 - val_loss: 5.6069 - val_mean_absolute_error: 5.6069 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6007 - mean_absolute_error: 5.6007 - val_loss: 5.6060 - val_mean_absolute_error: 5.6060 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5999 - mean_absolute_error: 5.5999 - val_loss: 5.6051 - val_mean_absolute_error: 5.6051 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5991 - mean_absolute_error: 5.5991 - val_loss: 5.6043 - val_mean_absolute_error: 5.6043 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5983 - mean_absolute_error: 5.5983 - val_loss: 5.6034 - val_mean_absolute_error: 5.6034 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5975 - mean_absolute_error: 5.5975 - val_loss: 5.6027 - val_mean_absolute_error: 5.6027 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5967 - mean_absolute_error: 5.5967 - val_loss: 5.6019 - val_mean_absolute_error: 5.6019 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5959 - mean_absolute_error: 5.5959 - val_loss: 5.6011 - val_mean_absolute_error: 5.6011 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5951 - mean_absolute_error: 5.5951 - val_loss: 5.6004 - val_mean_absolute_error: 5.6004 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5944 - mean_absolute_error: 5.5944 - val_loss: 5.5997 - val_mean_absolute_error: 5.5997 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5936 - mean_absolute_error: 5.5936 - val_loss: 5.5990 - val_mean_absolute_error: 5.5990 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5928 - mean_absolute_error: 5.5928 - val_loss: 5.5983 - val_mean_absolute_error: 5.5983 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5921 - mean_absolute_error: 5.5921 - val_loss: 5.5976 - val_mean_absolute_error: 5.5976 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5914 - mean_absolute_error: 5.5914 - val_loss: 5.5969 - val_mean_absolute_error: 5.5969 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5906 - mean_absolute_error: 5.5906 - val_loss: 5.5963 - val_mean_absolute_error: 5.5963 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5900 - mean_absolute_error: 5.5900 - val_loss: 5.5956 - val_mean_absolute_error: 5.5956 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5893 - mean_absolute_error: 5.5893 - val_loss: 5.5949 - val_mean_absolute_error: 5.5949 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5886 - mean_absolute_error: 5.5886 - val_loss: 5.5943 - val_mean_absolute_error: 5.5943 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5880 - mean_absolute_error: 5.5880 - val_loss: 5.5937 - val_mean_absolute_error: 5.5937 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5874 - mean_absolute_error: 5.5874 - val_loss: 5.5931 - val_mean_absolute_error: 5.5931 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5868 - mean_absolute_error: 5.5868 - val_loss: 5.5924 - val_mean_absolute_error: 5.5924 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5862 - mean_absolute_error: 5.5862 - val_loss: 5.5919 - val_mean_absolute_error: 5.5919 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5856 - mean_absolute_error: 5.5856 - val_loss: 5.5913 - val_mean_absolute_error: 5.5913 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5850 - mean_absolute_error: 5.5850 - val_loss: 5.5907 - val_mean_absolute_error: 5.5907 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5844 - mean_absolute_error: 5.5844 - val_loss: 5.5902 - val_mean_absolute_error: 5.5902 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5838 - mean_absolute_error: 5.5838 - val_loss: 5.5896 - val_mean_absolute_error: 5.5896 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5833 - mean_absolute_error: 5.5833 - val_loss: 5.5891 - val_mean_absolute_error: 5.5891 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5828 - mean_absolute_error: 5.5828 - val_loss: 5.5886 - val_mean_absolute_error: 5.5886 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5822 - mean_absolute_error: 5.5822 - val_loss: 5.5881 - val_mean_absolute_error: 5.5881 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5817 - mean_absolute_error: 5.5817 - val_loss: 5.5876 - val_mean_absolute_error: 5.5876 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5812 - mean_absolute_error: 5.5812 - val_loss: 5.5871 - val_mean_absolute_error: 5.5871 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5807 - mean_absolute_error: 5.5807 - val_loss: 5.5866 - val_mean_absolute_error: 5.5866 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.5829 - mean_absolute_error: 1.5829 - val_loss: 0.6785 - val_mean_absolute_error: 0.6785 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5631 - mean_absolute_error: 0.5631 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5286 - val_mean_absolute_error: 0.5286 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5445 - mean_absolute_error: 0.5445 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5569 - val_mean_absolute_error: 0.5569 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5402 - val_mean_absolute_error: 0.5402 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.4889 - val_mean_absolute_error: 0.4889 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.4809 - val_mean_absolute_error: 0.4809 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5561 - val_mean_absolute_error: 0.5561 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.4771 - val_mean_absolute_error: 0.4771 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4824 - val_mean_absolute_error: 0.4824 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mean_absolute_error: 0.4561 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4499 - mean_absolute_error: 0.4499 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.4724 - val_mean_absolute_error: 0.4724 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4574 - mean_absolute_error: 0.4574 - val_loss: 0.4933 - val_mean_absolute_error: 0.4933 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4577 - mean_absolute_error: 0.4577 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4576 - mean_absolute_error: 0.4576 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4521 - mean_absolute_error: 0.4521 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4646 - val_mean_absolute_error: 0.4646 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4626 - mean_absolute_error: 0.4626 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 45/50 35/35 [==============================] - ETA: 0s - loss: 0.5235 - mean_absolute_error: 0.523 - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.4728 - val_mean_absolute_error: 0.4728 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4520 - mean_absolute_error: 0.4520 - val_loss: 0.4608 - val_mean_absolute_error: 0.4608 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4520 - mean_absolute_error: 0.4520 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4565 - mean_absolute_error: 0.4565 - val_loss: 0.4778 - val_mean_absolute_error: 0.4778 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5849 - val_mean_absolute_error: 0.5849 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4896 - mean_absolute_error: 0.4896 - val_loss: 0.4742 - val_mean_absolute_error: 0.4742 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6294 - mean_absolute_error: 1.6294 - val_loss: 0.9801 - val_mean_absolute_error: 0.9801 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6576 - mean_absolute_error: 0.6576 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5412 - mean_absolute_error: 0.5412 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5458 - mean_absolute_error: 0.5458 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5290 - mean_absolute_error: 0.5290 - val_loss: 0.5366 - val_mean_absolute_error: 0.5366 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5686 - val_mean_absolute_error: 0.5686 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.6033 - val_mean_absolute_error: 0.6033 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5467 - mean_absolute_error: 0.5467 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5281 - mean_absolute_error: 0.5281 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.5656 - val_mean_absolute_error: 0.5656 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5117 - val_mean_absolute_error: 0.5117 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5017 - mean_absolute_error: 0.5017 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.4784 - val_mean_absolute_error: 0.4784 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4861 - val_mean_absolute_error: 0.4861 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.6108 - val_mean_absolute_error: 0.6108 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5590 - val_mean_absolute_error: 0.5590 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4550 - mean_absolute_error: 0.4550 - val_loss: 0.4805 - val_mean_absolute_error: 0.4805 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4866 - val_mean_absolute_error: 0.4866 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4785 - mean_absolute_error: 0.4785 - val_loss: 0.4830 - val_mean_absolute_error: 0.4830 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5402 - val_mean_absolute_error: 0.5402 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5977 - val_mean_absolute_error: 0.5977 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4532 - mean_absolute_error: 0.4532 - val_loss: 0.4699 - val_mean_absolute_error: 0.4699 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4540 - mean_absolute_error: 0.4540 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4531 - mean_absolute_error: 0.4531 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4983 - mean_absolute_error: 1.4983 - val_loss: 0.6384 - val_mean_absolute_error: 0.6384 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5881 - mean_absolute_error: 0.5881 - val_loss: 0.5627 - val_mean_absolute_error: 0.5627 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5117 - mean_absolute_error: 0.5117 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5185 - mean_absolute_error: 0.5185 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5256 - mean_absolute_error: 0.5256 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5652 - val_mean_absolute_error: 0.5652 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5108 - mean_absolute_error: 0.5108 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.5288 - val_mean_absolute_error: 0.5288 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4604 - mean_absolute_error: 0.4604 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4572 - mean_absolute_error: 0.4572 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mean_absolute_error: 0.4563 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4594 - mean_absolute_error: 0.4594 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4571 - mean_absolute_error: 0.4571 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4588 - mean_absolute_error: 0.4588 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4542 - mean_absolute_error: 0.4542 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4511 - mean_absolute_error: 0.4511 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4481 - mean_absolute_error: 0.4481 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4524 - mean_absolute_error: 0.4524 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4511 - mean_absolute_error: 0.4511 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4507 - mean_absolute_error: 0.4507 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4481 - mean_absolute_error: 0.4481 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4507 - mean_absolute_error: 0.4507 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mean_absolute_error: 0.4464 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4503 - mean_absolute_error: 0.4503 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4556 - mean_absolute_error: 0.4556 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4500 - mean_absolute_error: 0.4500 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4495 - mean_absolute_error: 0.4495 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4501 - mean_absolute_error: 0.4501 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4436 - mean_absolute_error: 0.4436 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4454 - mean_absolute_error: 0.4454 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4460 - mean_absolute_error: 0.4460 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 16ms/step - loss: 1.6130 - mean_absolute_error: 1.6130 - val_loss: 1.1620 - val_mean_absolute_error: 1.1620 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0240 - mean_absolute_error: 1.0240 - val_loss: 1.0376 - val_mean_absolute_error: 1.0376 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9459 - mean_absolute_error: 0.9459 - val_loss: 0.9678 - val_mean_absolute_error: 0.9678 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8978 - mean_absolute_error: 0.8978 - val_loss: 0.9310 - val_mean_absolute_error: 0.9310 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8685 - mean_absolute_error: 0.8685 - val_loss: 0.9075 - val_mean_absolute_error: 0.9075 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8423 - mean_absolute_error: 0.8423 - val_loss: 0.8860 - val_mean_absolute_error: 0.8860 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8235 - mean_absolute_error: 0.8235 - val_loss: 0.8716 - val_mean_absolute_error: 0.8716 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8082 - mean_absolute_error: 0.8082 - val_loss: 0.8562 - val_mean_absolute_error: 0.8562 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7947 - mean_absolute_error: 0.7947 - val_loss: 0.8449 - val_mean_absolute_error: 0.8449 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7849 - mean_absolute_error: 0.7849 - val_loss: 0.8351 - val_mean_absolute_error: 0.8351 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7753 - mean_absolute_error: 0.7753 - val_loss: 0.8242 - val_mean_absolute_error: 0.8242 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7660 - mean_absolute_error: 0.7660 - val_loss: 0.8169 - val_mean_absolute_error: 0.8169 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7589 - mean_absolute_error: 0.7589 - val_loss: 0.8099 - val_mean_absolute_error: 0.8099 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7524 - mean_absolute_error: 0.7524 - val_loss: 0.8043 - val_mean_absolute_error: 0.8043 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7470 - mean_absolute_error: 0.7470 - val_loss: 0.7988 - val_mean_absolute_error: 0.7988 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7408 - mean_absolute_error: 0.7408 - val_loss: 0.7938 - val_mean_absolute_error: 0.7938 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7357 - mean_absolute_error: 0.7357 - val_loss: 0.7888 - val_mean_absolute_error: 0.7888 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7313 - mean_absolute_error: 0.7313 - val_loss: 0.7848 - val_mean_absolute_error: 0.7848 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7266 - mean_absolute_error: 0.7266 - val_loss: 0.7798 - val_mean_absolute_error: 0.7798 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7226 - mean_absolute_error: 0.7226 - val_loss: 0.7758 - val_mean_absolute_error: 0.7758 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7189 - mean_absolute_error: 0.7189 - val_loss: 0.7725 - val_mean_absolute_error: 0.7725 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7151 - mean_absolute_error: 0.7151 - val_loss: 0.7685 - val_mean_absolute_error: 0.7685 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7122 - mean_absolute_error: 0.7122 - val_loss: 0.7652 - val_mean_absolute_error: 0.7652 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7086 - mean_absolute_error: 0.7086 - val_loss: 0.7620 - val_mean_absolute_error: 0.7620 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7054 - mean_absolute_error: 0.7054 - val_loss: 0.7589 - val_mean_absolute_error: 0.7589 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7028 - mean_absolute_error: 0.7028 - val_loss: 0.7555 - val_mean_absolute_error: 0.7555 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7002 - mean_absolute_error: 0.7002 - val_loss: 0.7526 - val_mean_absolute_error: 0.7526 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6973 - mean_absolute_error: 0.6973 - val_loss: 0.7499 - val_mean_absolute_error: 0.7499 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6948 - mean_absolute_error: 0.6948 - val_loss: 0.7471 - val_mean_absolute_error: 0.7471 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6924 - mean_absolute_error: 0.6924 - val_loss: 0.7446 - val_mean_absolute_error: 0.7446 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6901 - mean_absolute_error: 0.6901 - val_loss: 0.7420 - val_mean_absolute_error: 0.7420 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6881 - mean_absolute_error: 0.6881 - val_loss: 0.7392 - val_mean_absolute_error: 0.7392 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.7368 - val_mean_absolute_error: 0.7368 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6837 - mean_absolute_error: 0.6837 - val_loss: 0.7345 - val_mean_absolute_error: 0.7345 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6818 - mean_absolute_error: 0.6818 - val_loss: 0.7318 - val_mean_absolute_error: 0.7318 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6798 - mean_absolute_error: 0.6798 - val_loss: 0.7297 - val_mean_absolute_error: 0.7297 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6780 - mean_absolute_error: 0.6780 - val_loss: 0.7275 - val_mean_absolute_error: 0.7275 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6763 - mean_absolute_error: 0.6763 - val_loss: 0.7249 - val_mean_absolute_error: 0.7249 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6746 - mean_absolute_error: 0.6746 - val_loss: 0.7230 - val_mean_absolute_error: 0.7230 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6726 - mean_absolute_error: 0.6726 - val_loss: 0.7215 - val_mean_absolute_error: 0.7215 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6710 - mean_absolute_error: 0.6710 - val_loss: 0.7190 - val_mean_absolute_error: 0.7190 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6692 - mean_absolute_error: 0.6692 - val_loss: 0.7168 - val_mean_absolute_error: 0.7168 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6681 - mean_absolute_error: 0.6681 - val_loss: 0.7155 - val_mean_absolute_error: 0.7155 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6660 - mean_absolute_error: 0.6660 - val_loss: 0.7135 - val_mean_absolute_error: 0.7135 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.7117 - val_mean_absolute_error: 0.7117 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.7098 - val_mean_absolute_error: 0.7098 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6616 - mean_absolute_error: 0.6616 - val_loss: 0.7083 - val_mean_absolute_error: 0.7083 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6601 - mean_absolute_error: 0.6601 - val_loss: 0.7065 - val_mean_absolute_error: 0.7065 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6588 - mean_absolute_error: 0.6588 - val_loss: 0.7050 - val_mean_absolute_error: 0.7050 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6574 - mean_absolute_error: 0.6574 - val_loss: 0.7031 - val_mean_absolute_error: 0.7031 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.4492 - mean_absolute_error: 3.4492 - val_loss: 0.8943 - val_mean_absolute_error: 0.8943 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6882 - mean_absolute_error: 0.6882 - val_loss: 0.6629 - val_mean_absolute_error: 0.6629 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6719 - mean_absolute_error: 0.6719 - val_loss: 0.6820 - val_mean_absolute_error: 0.6820 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6712 - mean_absolute_error: 0.6712 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.6618 - val_mean_absolute_error: 0.6618 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.7110 - val_mean_absolute_error: 0.7110 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6758 - mean_absolute_error: 0.6758 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6726 - mean_absolute_error: 0.6726 - val_loss: 0.6933 - val_mean_absolute_error: 0.6933 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6962 - mean_absolute_error: 0.6962 - val_loss: 0.6784 - val_mean_absolute_error: 0.6784 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.7054 - val_mean_absolute_error: 0.7054 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6947 - mean_absolute_error: 0.6947 - val_loss: 0.7386 - val_mean_absolute_error: 0.7386 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6734 - mean_absolute_error: 0.6734 - val_loss: 0.6662 - val_mean_absolute_error: 0.6662 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6984 - mean_absolute_error: 0.6984 - val_loss: 0.7057 - val_mean_absolute_error: 0.7057 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6926 - mean_absolute_error: 0.6926 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6922 - mean_absolute_error: 0.6922 - val_loss: 0.6798 - val_mean_absolute_error: 0.6798 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7101 - mean_absolute_error: 0.7101 - val_loss: 0.7290 - val_mean_absolute_error: 0.7290 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7046 - mean_absolute_error: 0.7046 - val_loss: 0.6655 - val_mean_absolute_error: 0.6655 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6727 - mean_absolute_error: 0.6727 - val_loss: 0.6668 - val_mean_absolute_error: 0.6668 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6756 - mean_absolute_error: 0.6756 - val_loss: 0.6832 - val_mean_absolute_error: 0.6832 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6789 - mean_absolute_error: 0.6789 - val_loss: 0.6681 - val_mean_absolute_error: 0.6681 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6811 - mean_absolute_error: 0.6811 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6752 - mean_absolute_error: 0.6752 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6791 - mean_absolute_error: 0.6791 - val_loss: 0.6927 - val_mean_absolute_error: 0.6927 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.7223 - val_mean_absolute_error: 0.7223 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6958 - mean_absolute_error: 0.6958 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6932 - val_mean_absolute_error: 0.6932 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6928 - mean_absolute_error: 0.6928 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6867 - mean_absolute_error: 0.6867 - val_loss: 0.6634 - val_mean_absolute_error: 0.6634 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6856 - mean_absolute_error: 0.6856 - val_loss: 0.7203 - val_mean_absolute_error: 0.7203 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6822 - mean_absolute_error: 0.6822 - val_loss: 0.7260 - val_mean_absolute_error: 0.7260 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6977 - mean_absolute_error: 0.6977 - val_loss: 0.6583 - val_mean_absolute_error: 0.6583 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6816 - mean_absolute_error: 0.6816 - val_loss: 0.6745 - val_mean_absolute_error: 0.6745 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6832 - mean_absolute_error: 0.6832 - val_loss: 0.6631 - val_mean_absolute_error: 0.6631 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6547 - mean_absolute_error: 0.6547 - val_loss: 0.7387 - val_mean_absolute_error: 0.7387 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7031 - mean_absolute_error: 0.7031 - val_loss: 0.6569 - val_mean_absolute_error: 0.6569 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6746 - mean_absolute_error: 0.6746 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6869 - mean_absolute_error: 0.6869 - val_loss: 0.6834 - val_mean_absolute_error: 0.6834 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6897 - mean_absolute_error: 0.6897 - val_loss: 0.6626 - val_mean_absolute_error: 0.6626 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6823 - val_mean_absolute_error: 0.6823 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6836 - mean_absolute_error: 0.6836 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6968 - mean_absolute_error: 0.6968 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6986 - mean_absolute_error: 0.6986 - val_loss: 0.7269 - val_mean_absolute_error: 0.7269 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6743 - mean_absolute_error: 0.6743 - val_loss: 0.6890 - val_mean_absolute_error: 0.6890 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6885 - mean_absolute_error: 0.6885 - val_loss: 0.6663 - val_mean_absolute_error: 0.6663 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7127 - mean_absolute_error: 0.7127 - val_loss: 0.7329 - val_mean_absolute_error: 0.7329 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7092 - mean_absolute_error: 0.7092 - val_loss: 0.6925 - val_mean_absolute_error: 0.6925 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6896 - mean_absolute_error: 0.6896 - val_loss: 0.6809 - val_mean_absolute_error: 0.6809 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6668 - mean_absolute_error: 0.6668 - val_loss: 0.7145 - val_mean_absolute_error: 0.7145 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.6865 - mean_absolute_error: 1.6865 - val_loss: 0.6825 - val_mean_absolute_error: 0.6825 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5925 - mean_absolute_error: 0.5925 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5392 - mean_absolute_error: 0.5392 - val_loss: 0.5499 - val_mean_absolute_error: 0.5499 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4888 - mean_absolute_error: 0.4888 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 19/50 35/35 [==============================] - 0s 11ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4829 - mean_absolute_error: 0.4829 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4821 - mean_absolute_error: 0.4821 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5636 - mean_absolute_error: 5.5636 - val_loss: 5.4982 - val_mean_absolute_error: 5.4982 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3726 - mean_absolute_error: 5.3726 - val_loss: 5.2332 - val_mean_absolute_error: 5.2332 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0213 - mean_absolute_error: 5.0213 - val_loss: 4.7620 - val_mean_absolute_error: 4.7620 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 4.3710 - mean_absolute_error: 4.3710 - val_loss: 3.8799 - val_mean_absolute_error: 3.8799 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1731 - mean_absolute_error: 3.1731 - val_loss: 2.3864 - val_mean_absolute_error: 2.3864 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8602 - mean_absolute_error: 1.8602 - val_loss: 1.6886 - val_mean_absolute_error: 1.6886 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4924 - mean_absolute_error: 1.4924 - val_loss: 1.4786 - val_mean_absolute_error: 1.4786 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3010 - mean_absolute_error: 1.3010 - val_loss: 1.2974 - val_mean_absolute_error: 1.2974 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1647 - mean_absolute_error: 1.1647 - val_loss: 1.1866 - val_mean_absolute_error: 1.1866 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0878 - mean_absolute_error: 1.0878 - val_loss: 1.1197 - val_mean_absolute_error: 1.1197 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0208 - mean_absolute_error: 1.0208 - val_loss: 1.0594 - val_mean_absolute_error: 1.0594 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9666 - mean_absolute_error: 0.9666 - val_loss: 1.0052 - val_mean_absolute_error: 1.0052 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9202 - mean_absolute_error: 0.9202 - val_loss: 0.9558 - val_mean_absolute_error: 0.9558 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8688 - mean_absolute_error: 0.8688 - val_loss: 0.9154 - val_mean_absolute_error: 0.9154 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8282 - mean_absolute_error: 0.8282 - val_loss: 0.8827 - val_mean_absolute_error: 0.8827 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7971 - mean_absolute_error: 0.7971 - val_loss: 0.8443 - val_mean_absolute_error: 0.8443 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7609 - mean_absolute_error: 0.7609 - val_loss: 0.8154 - val_mean_absolute_error: 0.8154 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7324 - mean_absolute_error: 0.7324 - val_loss: 0.7875 - val_mean_absolute_error: 0.7875 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7093 - mean_absolute_error: 0.7093 - val_loss: 0.7630 - val_mean_absolute_error: 0.7630 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6868 - mean_absolute_error: 0.6868 - val_loss: 0.7457 - val_mean_absolute_error: 0.7457 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.7254 - val_mean_absolute_error: 0.7254 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6485 - mean_absolute_error: 0.6485 - val_loss: 0.6998 - val_mean_absolute_error: 0.6998 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6292 - mean_absolute_error: 0.6292 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6191 - mean_absolute_error: 0.6191 - val_loss: 0.6660 - val_mean_absolute_error: 0.6660 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6003 - mean_absolute_error: 0.6003 - val_loss: 0.6470 - val_mean_absolute_error: 0.6470 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5843 - mean_absolute_error: 0.5843 - val_loss: 0.6355 - val_mean_absolute_error: 0.6355 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5706 - mean_absolute_error: 0.5706 - val_loss: 0.6164 - val_mean_absolute_error: 0.6164 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5646 - mean_absolute_error: 0.5646 - val_loss: 0.6062 - val_mean_absolute_error: 0.6062 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5502 - mean_absolute_error: 0.5502 - val_loss: 0.5990 - val_mean_absolute_error: 0.5990 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5424 - mean_absolute_error: 0.5424 - val_loss: 0.5850 - val_mean_absolute_error: 0.5850 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5371 - mean_absolute_error: 0.5371 - val_loss: 0.5796 - val_mean_absolute_error: 0.5796 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5321 - mean_absolute_error: 0.5321 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5262 - mean_absolute_error: 0.5262 - val_loss: 0.5676 - val_mean_absolute_error: 0.5676 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.5594 - val_mean_absolute_error: 0.5594 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5593 - val_mean_absolute_error: 0.5593 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5586 - val_mean_absolute_error: 0.5586 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5499 - val_mean_absolute_error: 0.5499 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5430 - val_mean_absolute_error: 0.5430 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5013 - mean_absolute_error: 0.5013 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5281 - val_mean_absolute_error: 0.5281 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.5902 - mean_absolute_error: 5.5902 - val_loss: 5.5441 - val_mean_absolute_error: 5.5441 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4697 - mean_absolute_error: 5.4697 - val_loss: 5.4036 - val_mean_absolute_error: 5.4036 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3007 - mean_absolute_error: 5.3007 - val_loss: 5.2108 - val_mean_absolute_error: 5.2108 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0804 - mean_absolute_error: 5.0804 - val_loss: 4.9654 - val_mean_absolute_error: 4.9654 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8117 - mean_absolute_error: 4.8117 - val_loss: 4.6826 - val_mean_absolute_error: 4.6826 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.5023 - mean_absolute_error: 4.5023 - val_loss: 4.3608 - val_mean_absolute_error: 4.3608 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1598 - mean_absolute_error: 4.1598 - val_loss: 4.0099 - val_mean_absolute_error: 4.0099 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 3.8049 - mean_absolute_error: 3.8049 - val_loss: 3.6572 - val_mean_absolute_error: 3.6572 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4486 - mean_absolute_error: 3.4486 - val_loss: 3.3055 - val_mean_absolute_error: 3.3055 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0921 - mean_absolute_error: 3.0921 - val_loss: 2.9614 - val_mean_absolute_error: 2.9614 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7444 - mean_absolute_error: 2.7444 - val_loss: 2.6486 - val_mean_absolute_error: 2.6486 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4189 - mean_absolute_error: 2.4189 - val_loss: 2.3737 - val_mean_absolute_error: 2.3737 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1324 - mean_absolute_error: 2.1324 - val_loss: 2.1411 - val_mean_absolute_error: 2.1411 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9055 - mean_absolute_error: 1.9055 - val_loss: 1.9641 - val_mean_absolute_error: 1.9641 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7404 - mean_absolute_error: 1.7404 - val_loss: 1.8342 - val_mean_absolute_error: 1.8342 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6125 - mean_absolute_error: 1.6125 - val_loss: 1.7367 - val_mean_absolute_error: 1.7367 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5164 - mean_absolute_error: 1.5164 - val_loss: 1.6640 - val_mean_absolute_error: 1.6640 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4505 - mean_absolute_error: 1.4505 - val_loss: 1.6092 - val_mean_absolute_error: 1.6092 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4023 - mean_absolute_error: 1.4023 - val_loss: 1.5669 - val_mean_absolute_error: 1.5669 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3673 - mean_absolute_error: 1.3673 - val_loss: 1.5322 - val_mean_absolute_error: 1.5322 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3411 - mean_absolute_error: 1.3411 - val_loss: 1.5000 - val_mean_absolute_error: 1.5000 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3184 - mean_absolute_error: 1.3184 - val_loss: 1.4738 - val_mean_absolute_error: 1.4738 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2990 - mean_absolute_error: 1.2990 - val_loss: 1.4506 - val_mean_absolute_error: 1.4506 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2814 - mean_absolute_error: 1.2814 - val_loss: 1.4282 - val_mean_absolute_error: 1.4282 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2654 - mean_absolute_error: 1.2654 - val_loss: 1.4092 - val_mean_absolute_error: 1.4092 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2505 - mean_absolute_error: 1.2505 - val_loss: 1.3922 - val_mean_absolute_error: 1.3922 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2366 - mean_absolute_error: 1.2366 - val_loss: 1.3757 - val_mean_absolute_error: 1.3757 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2237 - mean_absolute_error: 1.2237 - val_loss: 1.3608 - val_mean_absolute_error: 1.3608 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2119 - mean_absolute_error: 1.2119 - val_loss: 1.3465 - val_mean_absolute_error: 1.3465 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2014 - mean_absolute_error: 1.2014 - val_loss: 1.3331 - val_mean_absolute_error: 1.3331 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1913 - mean_absolute_error: 1.1913 - val_loss: 1.3214 - val_mean_absolute_error: 1.3214 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1820 - mean_absolute_error: 1.1820 - val_loss: 1.3095 - val_mean_absolute_error: 1.3095 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1732 - mean_absolute_error: 1.1732 - val_loss: 1.2988 - val_mean_absolute_error: 1.2988 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1653 - mean_absolute_error: 1.1653 - val_loss: 1.2905 - val_mean_absolute_error: 1.2905 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1574 - mean_absolute_error: 1.1574 - val_loss: 1.2796 - val_mean_absolute_error: 1.2796 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1501 - mean_absolute_error: 1.1501 - val_loss: 1.2710 - val_mean_absolute_error: 1.2710 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1430 - mean_absolute_error: 1.1430 - val_loss: 1.2621 - val_mean_absolute_error: 1.2621 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1362 - mean_absolute_error: 1.1362 - val_loss: 1.2542 - val_mean_absolute_error: 1.2542 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1299 - mean_absolute_error: 1.1299 - val_loss: 1.2458 - val_mean_absolute_error: 1.2458 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1239 - mean_absolute_error: 1.1239 - val_loss: 1.2382 - val_mean_absolute_error: 1.2382 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1181 - mean_absolute_error: 1.1181 - val_loss: 1.2313 - val_mean_absolute_error: 1.2313 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1126 - mean_absolute_error: 1.1126 - val_loss: 1.2249 - val_mean_absolute_error: 1.2249 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1074 - mean_absolute_error: 1.1074 - val_loss: 1.2180 - val_mean_absolute_error: 1.2180 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1023 - mean_absolute_error: 1.1023 - val_loss: 1.2112 - val_mean_absolute_error: 1.2112 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0974 - mean_absolute_error: 1.0974 - val_loss: 1.2043 - val_mean_absolute_error: 1.2043 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0924 - mean_absolute_error: 1.0924 - val_loss: 1.1987 - val_mean_absolute_error: 1.1987 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0878 - mean_absolute_error: 1.0878 - val_loss: 1.1929 - val_mean_absolute_error: 1.1929 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0836 - mean_absolute_error: 1.0836 - val_loss: 1.1873 - val_mean_absolute_error: 1.1873 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0796 - mean_absolute_error: 1.0796 - val_loss: 1.1821 - val_mean_absolute_error: 1.1821 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0755 - mean_absolute_error: 1.0755 - val_loss: 1.1774 - val_mean_absolute_error: 1.1774 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.1734 - mean_absolute_error: 5.1734 - val_loss: 5.1438 - val_mean_absolute_error: 5.1438 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1501 - mean_absolute_error: 5.1501 - val_loss: 5.1315 - val_mean_absolute_error: 5.1315 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1410 - mean_absolute_error: 5.1410 - val_loss: 5.1241 - val_mean_absolute_error: 5.1241 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1351 - mean_absolute_error: 5.1351 - val_loss: 5.1189 - val_mean_absolute_error: 5.1189 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1307 - mean_absolute_error: 5.1307 - val_loss: 5.1147 - val_mean_absolute_error: 5.1147 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1271 - mean_absolute_error: 5.1271 - val_loss: 5.1114 - val_mean_absolute_error: 5.1114 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1241 - mean_absolute_error: 5.1241 - val_loss: 5.1085 - val_mean_absolute_error: 5.1085 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1216 - mean_absolute_error: 5.1216 - val_loss: 5.1060 - val_mean_absolute_error: 5.1060 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1194 - mean_absolute_error: 5.1194 - val_loss: 5.1038 - val_mean_absolute_error: 5.1038 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1174 - mean_absolute_error: 5.1174 - val_loss: 5.1018 - val_mean_absolute_error: 5.1018 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1156 - mean_absolute_error: 5.1156 - val_loss: 5.1000 - val_mean_absolute_error: 5.1000 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1140 - mean_absolute_error: 5.1140 - val_loss: 5.0984 - val_mean_absolute_error: 5.0984 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1125 - mean_absolute_error: 5.1125 - val_loss: 5.0969 - val_mean_absolute_error: 5.0969 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1111 - mean_absolute_error: 5.1111 - val_loss: 5.0955 - val_mean_absolute_error: 5.0955 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1098 - mean_absolute_error: 5.1098 - val_loss: 5.0942 - val_mean_absolute_error: 5.0942 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1086 - mean_absolute_error: 5.1086 - val_loss: 5.0930 - val_mean_absolute_error: 5.0930 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1075 - mean_absolute_error: 5.1075 - val_loss: 5.0918 - val_mean_absolute_error: 5.0918 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1064 - mean_absolute_error: 5.1064 - val_loss: 5.0908 - val_mean_absolute_error: 5.0908 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1054 - mean_absolute_error: 5.1054 - val_loss: 5.0897 - val_mean_absolute_error: 5.0897 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1045 - mean_absolute_error: 5.1045 - val_loss: 5.0888 - val_mean_absolute_error: 5.0888 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1035 - mean_absolute_error: 5.1035 - val_loss: 5.0878 - val_mean_absolute_error: 5.0878 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1027 - mean_absolute_error: 5.1027 - val_loss: 5.0869 - val_mean_absolute_error: 5.0869 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1018 - mean_absolute_error: 5.1018 - val_loss: 5.0861 - val_mean_absolute_error: 5.0861 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1010 - mean_absolute_error: 5.1010 - val_loss: 5.0852 - val_mean_absolute_error: 5.0852 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1003 - mean_absolute_error: 5.1003 - val_loss: 5.0845 - val_mean_absolute_error: 5.0845 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0995 - mean_absolute_error: 5.0995 - val_loss: 5.0837 - val_mean_absolute_error: 5.0837 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0988 - mean_absolute_error: 5.0988 - val_loss: 5.0830 - val_mean_absolute_error: 5.0830 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0981 - mean_absolute_error: 5.0981 - val_loss: 5.0823 - val_mean_absolute_error: 5.0823 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0975 - mean_absolute_error: 5.0975 - val_loss: 5.0816 - val_mean_absolute_error: 5.0816 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0968 - mean_absolute_error: 5.0968 - val_loss: 5.0809 - val_mean_absolute_error: 5.0809 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0962 - mean_absolute_error: 5.0962 - val_loss: 5.0803 - val_mean_absolute_error: 5.0803 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0956 - mean_absolute_error: 5.0956 - val_loss: 5.0797 - val_mean_absolute_error: 5.0797 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0950 - mean_absolute_error: 5.0950 - val_loss: 5.0791 - val_mean_absolute_error: 5.0791 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0945 - mean_absolute_error: 5.0945 - val_loss: 5.0785 - val_mean_absolute_error: 5.0785 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0939 - mean_absolute_error: 5.0939 - val_loss: 5.0779 - val_mean_absolute_error: 5.0779 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0934 - mean_absolute_error: 5.0934 - val_loss: 5.0774 - val_mean_absolute_error: 5.0774 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0929 - mean_absolute_error: 5.0929 - val_loss: 5.0769 - val_mean_absolute_error: 5.0769 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0924 - mean_absolute_error: 5.0924 - val_loss: 5.0763 - val_mean_absolute_error: 5.0763 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0919 - mean_absolute_error: 5.0919 - val_loss: 5.0758 - val_mean_absolute_error: 5.0758 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0914 - mean_absolute_error: 5.0914 - val_loss: 5.0753 - val_mean_absolute_error: 5.0753 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0909 - mean_absolute_error: 5.0909 - val_loss: 5.0749 - val_mean_absolute_error: 5.0749 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0905 - mean_absolute_error: 5.0905 - val_loss: 5.0744 - val_mean_absolute_error: 5.0744 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0900 - mean_absolute_error: 5.0900 - val_loss: 5.0739 - val_mean_absolute_error: 5.0739 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0896 - mean_absolute_error: 5.0896 - val_loss: 5.0735 - val_mean_absolute_error: 5.0735 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0892 - mean_absolute_error: 5.0892 - val_loss: 5.0731 - val_mean_absolute_error: 5.0731 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0888 - mean_absolute_error: 5.0888 - val_loss: 5.0726 - val_mean_absolute_error: 5.0726 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0884 - mean_absolute_error: 5.0884 - val_loss: 5.0722 - val_mean_absolute_error: 5.0722 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0880 - mean_absolute_error: 5.0880 - val_loss: 5.0718 - val_mean_absolute_error: 5.0718 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0876 - mean_absolute_error: 5.0876 - val_loss: 5.0714 - val_mean_absolute_error: 5.0714 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0872 - mean_absolute_error: 5.0872 - val_loss: 5.0710 - val_mean_absolute_error: 5.0710 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.7722 - mean_absolute_error: 4.7722 - val_loss: 3.3648 - val_mean_absolute_error: 3.3648 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0897 - mean_absolute_error: 2.0897 - val_loss: 1.4129 - val_mean_absolute_error: 1.4129 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2199 - mean_absolute_error: 1.2199 - val_loss: 1.1934 - val_mean_absolute_error: 1.1934 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0598 - mean_absolute_error: 1.0598 - val_loss: 1.0633 - val_mean_absolute_error: 1.0633 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9585 - mean_absolute_error: 0.9585 - val_loss: 0.9730 - val_mean_absolute_error: 0.9730 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8775 - mean_absolute_error: 0.8775 - val_loss: 0.9030 - val_mean_absolute_error: 0.9030 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8193 - mean_absolute_error: 0.8193 - val_loss: 0.8592 - val_mean_absolute_error: 0.8592 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7694 - mean_absolute_error: 0.7694 - val_loss: 0.8243 - val_mean_absolute_error: 0.8243 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7347 - mean_absolute_error: 0.7347 - val_loss: 0.7828 - val_mean_absolute_error: 0.7828 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7054 - mean_absolute_error: 0.7054 - val_loss: 0.7548 - val_mean_absolute_error: 0.7548 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6775 - mean_absolute_error: 0.6775 - val_loss: 0.7313 - val_mean_absolute_error: 0.7313 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6555 - mean_absolute_error: 0.6555 - val_loss: 0.7068 - val_mean_absolute_error: 0.7068 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6399 - mean_absolute_error: 0.6399 - val_loss: 0.6968 - val_mean_absolute_error: 0.6968 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6238 - mean_absolute_error: 0.6238 - val_loss: 0.6739 - val_mean_absolute_error: 0.6739 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6113 - mean_absolute_error: 0.6113 - val_loss: 0.6622 - val_mean_absolute_error: 0.6622 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6011 - mean_absolute_error: 0.6011 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5926 - mean_absolute_error: 0.5926 - val_loss: 0.6415 - val_mean_absolute_error: 0.6415 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5842 - mean_absolute_error: 0.5842 - val_loss: 0.6352 - val_mean_absolute_error: 0.6352 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5804 - mean_absolute_error: 0.5804 - val_loss: 0.6274 - val_mean_absolute_error: 0.6274 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5730 - mean_absolute_error: 0.5730 - val_loss: 0.6202 - val_mean_absolute_error: 0.6202 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5677 - mean_absolute_error: 0.5677 - val_loss: 0.6129 - val_mean_absolute_error: 0.6129 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5632 - mean_absolute_error: 0.5632 - val_loss: 0.6082 - val_mean_absolute_error: 0.6082 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5588 - mean_absolute_error: 0.5588 - val_loss: 0.6039 - val_mean_absolute_error: 0.6039 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5562 - mean_absolute_error: 0.5562 - val_loss: 0.5990 - val_mean_absolute_error: 0.5990 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5528 - mean_absolute_error: 0.5528 - val_loss: 0.5952 - val_mean_absolute_error: 0.5952 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5498 - mean_absolute_error: 0.5498 - val_loss: 0.5927 - val_mean_absolute_error: 0.5927 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5468 - mean_absolute_error: 0.5468 - val_loss: 0.5889 - val_mean_absolute_error: 0.5889 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5456 - mean_absolute_error: 0.5456 - val_loss: 0.5863 - val_mean_absolute_error: 0.5863 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5868 - val_mean_absolute_error: 0.5868 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5438 - mean_absolute_error: 0.5438 - val_loss: 0.5797 - val_mean_absolute_error: 0.5797 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5382 - mean_absolute_error: 0.5382 - val_loss: 0.5781 - val_mean_absolute_error: 0.5781 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5376 - mean_absolute_error: 0.5376 - val_loss: 0.5756 - val_mean_absolute_error: 0.5756 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5355 - mean_absolute_error: 0.5355 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5342 - mean_absolute_error: 0.5342 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5694 - val_mean_absolute_error: 0.5694 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5310 - mean_absolute_error: 0.5310 - val_loss: 0.5678 - val_mean_absolute_error: 0.5678 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5298 - mean_absolute_error: 0.5298 - val_loss: 0.5663 - val_mean_absolute_error: 0.5663 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5300 - mean_absolute_error: 0.5300 - val_loss: 0.5658 - val_mean_absolute_error: 0.5658 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5287 - mean_absolute_error: 0.5287 - val_loss: 0.5631 - val_mean_absolute_error: 0.5631 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5274 - mean_absolute_error: 0.5274 - val_loss: 0.5612 - val_mean_absolute_error: 0.5612 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5260 - mean_absolute_error: 0.5260 - val_loss: 0.5606 - val_mean_absolute_error: 0.5606 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.5589 - val_mean_absolute_error: 0.5589 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5581 - val_mean_absolute_error: 0.5581 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5565 - val_mean_absolute_error: 0.5565 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5556 - val_mean_absolute_error: 0.5556 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5543 - val_mean_absolute_error: 0.5543 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5544 - val_mean_absolute_error: 0.5544 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5529 - val_mean_absolute_error: 0.5529 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5206 - mean_absolute_error: 0.5206 - val_loss: 0.5526 - val_mean_absolute_error: 0.5526 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5192 - mean_absolute_error: 0.5192 - val_loss: 0.5512 - val_mean_absolute_error: 0.5512 Epoch 1/50 35/35 [==============================] - 1s 16ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417
def Adam(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=l, decay=d)
model1.compile(optimizer=adam,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'decay':d,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data6 = Adam('Adam')
Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.9237 - mean_absolute_error: 3.9237 - val_loss: 1.8210 - val_mean_absolute_error: 1.8210 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1984 - mean_absolute_error: 1.1984 - val_loss: 0.9693 - val_mean_absolute_error: 0.9693 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8543 - mean_absolute_error: 0.8543 - val_loss: 0.7741 - val_mean_absolute_error: 0.7741 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6793 - mean_absolute_error: 0.6793 - val_loss: 0.6726 - val_mean_absolute_error: 0.6726 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5986 - mean_absolute_error: 0.5986 - val_loss: 0.6441 - val_mean_absolute_error: 0.6441 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5650 - mean_absolute_error: 0.5650 - val_loss: 0.5563 - val_mean_absolute_error: 0.5563 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5613 - mean_absolute_error: 0.5613 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5257 - mean_absolute_error: 0.5257 - val_loss: 0.5389 - val_mean_absolute_error: 0.5389 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5061 - mean_absolute_error: 0.5061 - val_loss: 0.5532 - val_mean_absolute_error: 0.5532 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5121 - mean_absolute_error: 0.5121 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 12/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5483 - val_mean_absolute_error: 0.5483 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5206 - mean_absolute_error: 0.5206 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5057 - mean_absolute_error: 0.5057 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4957 - mean_absolute_error: 0.4957 - val_loss: 0.5287 - val_mean_absolute_error: 0.5287 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4954 - mean_absolute_error: 0.4954 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5090 - mean_absolute_error: 0.5090 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4912 - mean_absolute_error: 0.4912 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5328 - val_mean_absolute_error: 0.5328 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5050 - mean_absolute_error: 0.5050 - val_loss: 0.5230 - val_mean_absolute_error: 0.5230 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5098 - mean_absolute_error: 0.5098 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4895 - mean_absolute_error: 0.4895 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5204 - val_mean_absolute_error: 0.5204 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5604 - val_mean_absolute_error: 0.5604 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4985 - mean_absolute_error: 0.4985 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5364 - val_mean_absolute_error: 0.5364 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.0395 - mean_absolute_error: 3.0395 - val_loss: 1.3614 - val_mean_absolute_error: 1.3614 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0732 - mean_absolute_error: 1.0732 - val_loss: 0.9419 - val_mean_absolute_error: 0.9419 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7643 - mean_absolute_error: 0.7643 - val_loss: 0.7965 - val_mean_absolute_error: 0.7965 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6694 - mean_absolute_error: 0.6694 - val_loss: 0.6586 - val_mean_absolute_error: 0.6586 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5803 - mean_absolute_error: 0.5803 - val_loss: 0.6013 - val_mean_absolute_error: 0.6013 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5429 - mean_absolute_error: 0.5429 - val_loss: 0.5921 - val_mean_absolute_error: 0.5921 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5277 - mean_absolute_error: 0.5277 - val_loss: 0.5968 - val_mean_absolute_error: 0.5968 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5613 - mean_absolute_error: 0.5613 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5222 - mean_absolute_error: 0.5222 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5128 - mean_absolute_error: 0.5128 - val_loss: 0.5521 - val_mean_absolute_error: 0.5521 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5368 - mean_absolute_error: 0.5368 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5564 - val_mean_absolute_error: 0.5564 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5504 - val_mean_absolute_error: 0.5504 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5438 - mean_absolute_error: 0.5438 - val_loss: 0.5671 - val_mean_absolute_error: 0.5671 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5313 - val_mean_absolute_error: 0.5313 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5570 - val_mean_absolute_error: 0.5570 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5207 - val_mean_absolute_error: 0.5207 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5064 - mean_absolute_error: 0.5064 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5413 - val_mean_absolute_error: 0.5413 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5082 - mean_absolute_error: 0.5082 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5480 - mean_absolute_error: 0.5480 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5269 - mean_absolute_error: 0.5269 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5128 - mean_absolute_error: 0.5128 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5579 - val_mean_absolute_error: 0.5579 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5107 - mean_absolute_error: 0.5107 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5006 - mean_absolute_error: 0.5006 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4990 - mean_absolute_error: 0.4990 - val_loss: 0.5575 - val_mean_absolute_error: 0.5575 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5100 - mean_absolute_error: 0.5100 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5793 - val_mean_absolute_error: 0.5793 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5107 - mean_absolute_error: 0.5107 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5468 - val_mean_absolute_error: 0.5468 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5732 - val_mean_absolute_error: 0.5732 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4977 - mean_absolute_error: 0.4977 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.5830 - mean_absolute_error: 3.5830 - val_loss: 1.6335 - val_mean_absolute_error: 1.6335 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0521 - mean_absolute_error: 1.0521 - val_loss: 0.8531 - val_mean_absolute_error: 0.8531 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6774 - mean_absolute_error: 0.6774 - val_loss: 0.6582 - val_mean_absolute_error: 0.6582 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5753 - mean_absolute_error: 0.5753 - val_loss: 0.5943 - val_mean_absolute_error: 0.5943 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5390 - mean_absolute_error: 0.5390 - val_loss: 0.5677 - val_mean_absolute_error: 0.5677 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5293 - mean_absolute_error: 0.5293 - val_loss: 0.5603 - val_mean_absolute_error: 0.5603 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5695 - val_mean_absolute_error: 0.5695 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5749 - val_mean_absolute_error: 0.5749 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5552 - val_mean_absolute_error: 0.5552 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5531 - val_mean_absolute_error: 0.5531 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5024 - mean_absolute_error: 0.5024 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4947 - mean_absolute_error: 0.4947 - val_loss: 0.5281 - val_mean_absolute_error: 0.5281 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5270 - val_mean_absolute_error: 0.5270 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5205 - val_mean_absolute_error: 0.5205 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.5236 - val_mean_absolute_error: 0.5236 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4830 - mean_absolute_error: 0.4830 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 50/50 35/35 [==============================] - ETA: 0s - loss: 0.6000 - mean_absolute_error: 0.600 - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 1/50 35/35 [==============================] - 1s 17ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.4301 - mean_absolute_error: 1.4301 - val_loss: 0.6906 - val_mean_absolute_error: 0.6906 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5903 - mean_absolute_error: 0.5903 - val_loss: 0.5663 - val_mean_absolute_error: 0.5663 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5653 - mean_absolute_error: 0.5653 - val_loss: 0.5487 - val_mean_absolute_error: 0.5487 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5317 - mean_absolute_error: 0.5317 - val_loss: 0.5645 - val_mean_absolute_error: 0.5645 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5866 - mean_absolute_error: 0.5866 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5372 - mean_absolute_error: 0.5372 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5295 - mean_absolute_error: 0.5295 - val_loss: 0.5117 - val_mean_absolute_error: 0.5117 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.6011 - val_mean_absolute_error: 0.6011 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4993 - mean_absolute_error: 0.4993 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.4874 - val_mean_absolute_error: 0.4874 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_absolute_error: 0.4958 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5781 - val_mean_absolute_error: 0.5781 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4632 - mean_absolute_error: 0.4632 - val_loss: 0.5242 - val_mean_absolute_error: 0.5242 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4579 - mean_absolute_error: 0.4579 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4539 - mean_absolute_error: 0.4539 - val_loss: 0.5338 - val_mean_absolute_error: 0.5338 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5452 - val_mean_absolute_error: 0.5452 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.5442 - val_mean_absolute_error: 0.5442 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4526 - mean_absolute_error: 0.4526 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4578 - mean_absolute_error: 0.4578 - val_loss: 0.5238 - val_mean_absolute_error: 0.5238 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4471 - mean_absolute_error: 0.4471 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4479 - mean_absolute_error: 0.4479 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4450 - mean_absolute_error: 0.4450 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.3635 - mean_absolute_error: 1.3635 - val_loss: 0.6605 - val_mean_absolute_error: 0.6605 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5612 - mean_absolute_error: 0.5612 - val_loss: 0.6436 - val_mean_absolute_error: 0.6436 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5497 - mean_absolute_error: 0.5497 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5204 - val_mean_absolute_error: 0.5204 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4990 - mean_absolute_error: 0.4990 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5005 - mean_absolute_error: 0.5005 - val_loss: 0.5491 - val_mean_absolute_error: 0.5491 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5457 - mean_absolute_error: 0.5457 - val_loss: 0.5517 - val_mean_absolute_error: 0.5517 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5221 - mean_absolute_error: 0.5221 - val_loss: 0.4786 - val_mean_absolute_error: 0.4786 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.4674 - val_mean_absolute_error: 0.4674 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5194 - val_mean_absolute_error: 0.5194 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.4893 - val_mean_absolute_error: 0.4893 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5011 - mean_absolute_error: 0.5011 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5130 - mean_absolute_error: 0.5130 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4919 - mean_absolute_error: 0.4919 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4885 - val_mean_absolute_error: 0.4885 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.6020 - val_mean_absolute_error: 0.6020 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5643 - val_mean_absolute_error: 0.5643 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5098 - mean_absolute_error: 0.5098 - val_loss: 0.5230 - val_mean_absolute_error: 0.5230 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5634 - val_mean_absolute_error: 0.5634 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4945 - mean_absolute_error: 0.4945 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4610 - mean_absolute_error: 0.4610 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.4822 - val_mean_absolute_error: 0.4822 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5003 - mean_absolute_error: 0.5003 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4604 - mean_absolute_error: 0.4604 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5718 - val_mean_absolute_error: 0.5718 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4537 - mean_absolute_error: 0.4537 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4470 - mean_absolute_error: 0.4470 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.5444 - val_mean_absolute_error: 0.5444 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4572 - mean_absolute_error: 0.4572 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.7874 - mean_absolute_error: 1.7874 - val_loss: 0.7418 - val_mean_absolute_error: 0.7418 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6026 - mean_absolute_error: 0.6026 - val_loss: 0.5559 - val_mean_absolute_error: 0.5559 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5363 - mean_absolute_error: 0.5363 - val_loss: 0.5639 - val_mean_absolute_error: 0.5639 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5604 - mean_absolute_error: 0.5604 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5072 - mean_absolute_error: 0.5072 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4858 - mean_absolute_error: 0.4858 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.5201 - val_mean_absolute_error: 0.5201 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4842 - val_mean_absolute_error: 0.4842 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4869 - val_mean_absolute_error: 0.4869 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.4871 - val_mean_absolute_error: 0.4871 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4821 - val_mean_absolute_error: 0.4821 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.4814 - val_mean_absolute_error: 0.4814 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4608 - mean_absolute_error: 0.4608 - val_loss: 0.4864 - val_mean_absolute_error: 0.4864 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4617 - mean_absolute_error: 0.4617 - val_loss: 0.4796 - val_mean_absolute_error: 0.4796 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4607 - mean_absolute_error: 0.4607 - val_loss: 0.4881 - val_mean_absolute_error: 0.4881 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4610 - mean_absolute_error: 0.4610 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4828 - val_mean_absolute_error: 0.4828 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4593 - mean_absolute_error: 0.4593 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4628 - mean_absolute_error: 0.4628 - val_loss: 0.4836 - val_mean_absolute_error: 0.4836 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4583 - mean_absolute_error: 0.4583 - val_loss: 0.4866 - val_mean_absolute_error: 0.4866 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4578 - mean_absolute_error: 0.4578 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4570 - mean_absolute_error: 0.4570 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4571 - mean_absolute_error: 0.4571 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4585 - mean_absolute_error: 0.4585 - val_loss: 0.4889 - val_mean_absolute_error: 0.4889 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4570 - mean_absolute_error: 0.4570 - val_loss: 0.4818 - val_mean_absolute_error: 0.4818 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4550 - mean_absolute_error: 0.4550 - val_loss: 0.4803 - val_mean_absolute_error: 0.4803 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.6139 - mean_absolute_error: 4.6139 - val_loss: 3.9319 - val_mean_absolute_error: 3.9319 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3577 - mean_absolute_error: 3.3577 - val_loss: 2.9215 - val_mean_absolute_error: 2.9215 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4370 - mean_absolute_error: 2.4370 - val_loss: 2.2158 - val_mean_absolute_error: 2.2158 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8156 - mean_absolute_error: 1.8156 - val_loss: 1.8056 - val_mean_absolute_error: 1.8056 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4928 - mean_absolute_error: 1.4928 - val_loss: 1.6128 - val_mean_absolute_error: 1.6128 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3621 - mean_absolute_error: 1.3621 - val_loss: 1.5325 - val_mean_absolute_error: 1.5325 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3119 - mean_absolute_error: 1.3119 - val_loss: 1.4892 - val_mean_absolute_error: 1.4892 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2844 - mean_absolute_error: 1.2844 - val_loss: 1.4547 - val_mean_absolute_error: 1.4547 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2646 - mean_absolute_error: 1.2646 - val_loss: 1.4294 - val_mean_absolute_error: 1.4294 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2485 - mean_absolute_error: 1.2485 - val_loss: 1.4088 - val_mean_absolute_error: 1.4088 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2353 - mean_absolute_error: 1.2353 - val_loss: 1.3911 - val_mean_absolute_error: 1.3911 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2239 - mean_absolute_error: 1.2239 - val_loss: 1.3750 - val_mean_absolute_error: 1.3750 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2131 - mean_absolute_error: 1.2131 - val_loss: 1.3623 - val_mean_absolute_error: 1.3623 Epoch 14/50 35/35 [==============================] - 0s 3ms/step - loss: 1.2039 - mean_absolute_error: 1.2039 - val_loss: 1.3495 - val_mean_absolute_error: 1.3495 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1953 - mean_absolute_error: 1.1953 - val_loss: 1.3376 - val_mean_absolute_error: 1.3376 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1870 - mean_absolute_error: 1.1870 - val_loss: 1.3274 - val_mean_absolute_error: 1.3274 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1798 - mean_absolute_error: 1.1798 - val_loss: 1.3179 - val_mean_absolute_error: 1.3179 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1730 - mean_absolute_error: 1.1730 - val_loss: 1.3086 - val_mean_absolute_error: 1.3086 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1667 - mean_absolute_error: 1.1667 - val_loss: 1.3000 - val_mean_absolute_error: 1.3000 Epoch 20/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1609 - mean_absolute_error: 1.1609 - val_loss: 1.2923 - val_mean_absolute_error: 1.2923 Epoch 21/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1555 - mean_absolute_error: 1.1555 - val_loss: 1.2852 - val_mean_absolute_error: 1.2852 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1507 - mean_absolute_error: 1.1507 - val_loss: 1.2782 - val_mean_absolute_error: 1.2782 Epoch 23/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1458 - mean_absolute_error: 1.1458 - val_loss: 1.2718 - val_mean_absolute_error: 1.2718 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1414 - mean_absolute_error: 1.1414 - val_loss: 1.2659 - val_mean_absolute_error: 1.2659 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1371 - mean_absolute_error: 1.1371 - val_loss: 1.2601 - val_mean_absolute_error: 1.2601 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1330 - mean_absolute_error: 1.1330 - val_loss: 1.2544 - val_mean_absolute_error: 1.2544 Epoch 27/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1290 - mean_absolute_error: 1.1290 - val_loss: 1.2496 - val_mean_absolute_error: 1.2496 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1252 - mean_absolute_error: 1.1252 - val_loss: 1.2446 - val_mean_absolute_error: 1.2446 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1217 - mean_absolute_error: 1.1217 - val_loss: 1.2396 - val_mean_absolute_error: 1.2396 Epoch 30/50 35/35 [==============================] - 0s 11ms/step - loss: 1.1182 - mean_absolute_error: 1.1182 - val_loss: 1.2348 - val_mean_absolute_error: 1.2348 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1148 - mean_absolute_error: 1.1148 - val_loss: 1.2306 - val_mean_absolute_error: 1.2306 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1115 - mean_absolute_error: 1.1115 - val_loss: 1.2265 - val_mean_absolute_error: 1.2265 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1085 - mean_absolute_error: 1.1085 - val_loss: 1.2225 - val_mean_absolute_error: 1.2225 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1055 - mean_absolute_error: 1.1055 - val_loss: 1.2185 - val_mean_absolute_error: 1.2185 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1025 - mean_absolute_error: 1.1025 - val_loss: 1.2146 - val_mean_absolute_error: 1.2146 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0997 - mean_absolute_error: 1.0997 - val_loss: 1.2108 - val_mean_absolute_error: 1.2108 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0969 - mean_absolute_error: 1.0969 - val_loss: 1.2073 - val_mean_absolute_error: 1.2073 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0944 - mean_absolute_error: 1.0944 - val_loss: 1.2037 - val_mean_absolute_error: 1.2037 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0917 - mean_absolute_error: 1.0917 - val_loss: 1.2002 - val_mean_absolute_error: 1.2002 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0891 - mean_absolute_error: 1.0891 - val_loss: 1.1970 - val_mean_absolute_error: 1.1970 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0868 - mean_absolute_error: 1.0868 - val_loss: 1.1936 - val_mean_absolute_error: 1.1936 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0844 - mean_absolute_error: 1.0844 - val_loss: 1.1905 - val_mean_absolute_error: 1.1905 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0820 - mean_absolute_error: 1.0820 - val_loss: 1.1877 - val_mean_absolute_error: 1.1877 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0798 - mean_absolute_error: 1.0798 - val_loss: 1.1845 - val_mean_absolute_error: 1.1845 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0776 - mean_absolute_error: 1.0776 - val_loss: 1.1818 - val_mean_absolute_error: 1.1818 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0753 - mean_absolute_error: 1.0753 - val_loss: 1.1788 - val_mean_absolute_error: 1.1788 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0733 - mean_absolute_error: 1.0733 - val_loss: 1.1760 - val_mean_absolute_error: 1.1760 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0711 - mean_absolute_error: 1.0711 - val_loss: 1.1733 - val_mean_absolute_error: 1.1733 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0692 - mean_absolute_error: 1.0692 - val_loss: 1.1708 - val_mean_absolute_error: 1.1708 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0672 - mean_absolute_error: 1.0672 - val_loss: 1.1682 - val_mean_absolute_error: 1.1682 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.2457 - mean_absolute_error: 1.2457 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.5452 - val_mean_absolute_error: 0.5452 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5560 - mean_absolute_error: 0.5560 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5545 - val_mean_absolute_error: 0.5545 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5511 - mean_absolute_error: 0.5511 - val_loss: 0.5655 - val_mean_absolute_error: 0.5655 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5486 - mean_absolute_error: 0.5486 - val_loss: 0.5402 - val_mean_absolute_error: 0.5402 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5542 - val_mean_absolute_error: 0.5542 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5262 - mean_absolute_error: 0.5262 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5431 - mean_absolute_error: 0.5431 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5040 - mean_absolute_error: 0.5040 - val_loss: 0.6159 - val_mean_absolute_error: 0.6159 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5226 - mean_absolute_error: 0.5226 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5471 - mean_absolute_error: 0.5471 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5061 - mean_absolute_error: 0.5061 - val_loss: 0.5503 - val_mean_absolute_error: 0.5503 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5238 - mean_absolute_error: 0.5238 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5860 - val_mean_absolute_error: 0.5860 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.4866 - val_mean_absolute_error: 0.4866 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.4759 - val_mean_absolute_error: 0.4759 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5241 - val_mean_absolute_error: 0.5241 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.4851 - val_mean_absolute_error: 0.4851 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.4741 - val_mean_absolute_error: 0.4741 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5267 - val_mean_absolute_error: 0.5267 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5115 - mean_absolute_error: 0.5115 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.4744 - val_mean_absolute_error: 0.4744 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4542 - mean_absolute_error: 0.4542 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4698 - val_mean_absolute_error: 0.4698 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5653 - val_mean_absolute_error: 0.5653 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.4567 - val_mean_absolute_error: 0.4567 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4633 - mean_absolute_error: 0.4633 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5886 - val_mean_absolute_error: 0.5886 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.4860 - val_mean_absolute_error: 0.4860 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.4866 - val_mean_absolute_error: 0.4866 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4659 - val_mean_absolute_error: 0.4659 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4631 - mean_absolute_error: 0.4631 - val_loss: 0.4684 - val_mean_absolute_error: 0.4684 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4556 - mean_absolute_error: 0.4556 - val_loss: 0.4672 - val_mean_absolute_error: 0.4672 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4603 - val_mean_absolute_error: 0.4603 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.4751 - val_mean_absolute_error: 0.4751 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4572 - mean_absolute_error: 0.4572 - val_loss: 0.4631 - val_mean_absolute_error: 0.4631 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 0.9840 - mean_absolute_error: 0.9840 - val_loss: 0.6219 - val_mean_absolute_error: 0.6219 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5349 - mean_absolute_error: 0.5349 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5556 - mean_absolute_error: 0.5556 - val_loss: 0.5782 - val_mean_absolute_error: 0.5782 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5032 - mean_absolute_error: 0.5032 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5965 - val_mean_absolute_error: 0.5965 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5584 - mean_absolute_error: 0.5584 - val_loss: 0.5811 - val_mean_absolute_error: 0.5811 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5535 - mean_absolute_error: 0.5535 - val_loss: 0.5688 - val_mean_absolute_error: 0.5688 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5282 - val_mean_absolute_error: 0.5282 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5574 - val_mean_absolute_error: 0.5574 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5201 - mean_absolute_error: 0.5201 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5705 - mean_absolute_error: 0.5705 - val_loss: 0.6025 - val_mean_absolute_error: 0.6025 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5126 - mean_absolute_error: 0.5126 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5615 - val_mean_absolute_error: 0.5615 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5802 - mean_absolute_error: 0.5802 - val_loss: 0.5579 - val_mean_absolute_error: 0.5579 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5099 - mean_absolute_error: 0.5099 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5525 - val_mean_absolute_error: 0.5525 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mean_absolute_error: 0.5070 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5306 - mean_absolute_error: 0.5306 - val_loss: 0.5529 - val_mean_absolute_error: 0.5529 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5668 - val_mean_absolute_error: 0.5668 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.4844 - val_mean_absolute_error: 0.4844 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5378 - mean_absolute_error: 0.5378 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5105 - mean_absolute_error: 0.5105 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5089 - mean_absolute_error: 0.5089 - val_loss: 0.4755 - val_mean_absolute_error: 0.4755 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4974 - mean_absolute_error: 0.4974 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5577 - val_mean_absolute_error: 0.5577 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.4788 - val_mean_absolute_error: 0.4788 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.5683 - val_mean_absolute_error: 0.5683 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.4729 - val_mean_absolute_error: 0.4729 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4998 - mean_absolute_error: 0.4998 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.4690 - val_mean_absolute_error: 0.4690 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5176 - mean_absolute_error: 0.5176 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5090 - mean_absolute_error: 0.5090 - val_loss: 0.5694 - val_mean_absolute_error: 0.5694 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4970 - mean_absolute_error: 0.4970 - val_loss: 0.4803 - val_mean_absolute_error: 0.4803 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 1.5212 - mean_absolute_error: 1.5212 - val_loss: 1.1702 - val_mean_absolute_error: 1.1702 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0526 - mean_absolute_error: 1.0526 - val_loss: 1.0726 - val_mean_absolute_error: 1.0726 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9849 - mean_absolute_error: 0.9849 - val_loss: 1.0233 - val_mean_absolute_error: 1.0233 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9471 - mean_absolute_error: 0.9471 - val_loss: 0.9881 - val_mean_absolute_error: 0.9881 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9188 - mean_absolute_error: 0.9188 - val_loss: 0.9625 - val_mean_absolute_error: 0.9625 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8936 - mean_absolute_error: 0.8936 - val_loss: 0.9423 - val_mean_absolute_error: 0.9423 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8756 - mean_absolute_error: 0.8756 - val_loss: 0.9251 - val_mean_absolute_error: 0.9251 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8608 - mean_absolute_error: 0.8608 - val_loss: 0.9111 - val_mean_absolute_error: 0.9111 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8468 - mean_absolute_error: 0.8468 - val_loss: 0.8991 - val_mean_absolute_error: 0.8991 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8351 - mean_absolute_error: 0.8351 - val_loss: 0.8861 - val_mean_absolute_error: 0.8861 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8253 - mean_absolute_error: 0.8253 - val_loss: 0.8765 - val_mean_absolute_error: 0.8765 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8160 - mean_absolute_error: 0.8160 - val_loss: 0.8682 - val_mean_absolute_error: 0.8682 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8077 - mean_absolute_error: 0.8077 - val_loss: 0.8604 - val_mean_absolute_error: 0.8604 Epoch 14/50 35/35 [==============================] - ETA: 0s - loss: 0.8598 - mean_absolute_error: 0.859 - 0s 2ms/step - loss: 0.7997 - mean_absolute_error: 0.7997 - val_loss: 0.8527 - val_mean_absolute_error: 0.8527 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7929 - mean_absolute_error: 0.7929 - val_loss: 0.8450 - val_mean_absolute_error: 0.8450 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7861 - mean_absolute_error: 0.7861 - val_loss: 0.8392 - val_mean_absolute_error: 0.8392 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7805 - mean_absolute_error: 0.7805 - val_loss: 0.8333 - val_mean_absolute_error: 0.8333 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7744 - mean_absolute_error: 0.7744 - val_loss: 0.8272 - val_mean_absolute_error: 0.8272 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7691 - mean_absolute_error: 0.7691 - val_loss: 0.8221 - val_mean_absolute_error: 0.8221 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7642 - mean_absolute_error: 0.7642 - val_loss: 0.8172 - val_mean_absolute_error: 0.8172 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7595 - mean_absolute_error: 0.7595 - val_loss: 0.8127 - val_mean_absolute_error: 0.8127 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7547 - mean_absolute_error: 0.7547 - val_loss: 0.8085 - val_mean_absolute_error: 0.8085 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7507 - mean_absolute_error: 0.7507 - val_loss: 0.8043 - val_mean_absolute_error: 0.8043 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7462 - mean_absolute_error: 0.7462 - val_loss: 0.8005 - val_mean_absolute_error: 0.8005 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7422 - mean_absolute_error: 0.7422 - val_loss: 0.7973 - val_mean_absolute_error: 0.7973 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7384 - mean_absolute_error: 0.7384 - val_loss: 0.7938 - val_mean_absolute_error: 0.7938 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7349 - mean_absolute_error: 0.7349 - val_loss: 0.7908 - val_mean_absolute_error: 0.7908 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7316 - mean_absolute_error: 0.7316 - val_loss: 0.7878 - val_mean_absolute_error: 0.7878 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7284 - mean_absolute_error: 0.7284 - val_loss: 0.7851 - val_mean_absolute_error: 0.7851 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7257 - mean_absolute_error: 0.7257 - val_loss: 0.7823 - val_mean_absolute_error: 0.7823 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7228 - mean_absolute_error: 0.7228 - val_loss: 0.7798 - val_mean_absolute_error: 0.7798 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7200 - mean_absolute_error: 0.7200 - val_loss: 0.7770 - val_mean_absolute_error: 0.7770 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7175 - mean_absolute_error: 0.7175 - val_loss: 0.7748 - val_mean_absolute_error: 0.7748 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7149 - mean_absolute_error: 0.7149 - val_loss: 0.7720 - val_mean_absolute_error: 0.7720 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7126 - mean_absolute_error: 0.7126 - val_loss: 0.7697 - val_mean_absolute_error: 0.7697 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7105 - mean_absolute_error: 0.7105 - val_loss: 0.7676 - val_mean_absolute_error: 0.7676 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7081 - mean_absolute_error: 0.7081 - val_loss: 0.7655 - val_mean_absolute_error: 0.7655 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7057 - mean_absolute_error: 0.7057 - val_loss: 0.7635 - val_mean_absolute_error: 0.7635 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7037 - mean_absolute_error: 0.7037 - val_loss: 0.7615 - val_mean_absolute_error: 0.7615 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7017 - mean_absolute_error: 0.7017 - val_loss: 0.7596 - val_mean_absolute_error: 0.7596 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6997 - mean_absolute_error: 0.6997 - val_loss: 0.7578 - val_mean_absolute_error: 0.7578 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6978 - mean_absolute_error: 0.6978 - val_loss: 0.7561 - val_mean_absolute_error: 0.7561 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6959 - mean_absolute_error: 0.6959 - val_loss: 0.7542 - val_mean_absolute_error: 0.7542 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.7524 - val_mean_absolute_error: 0.7524 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6924 - mean_absolute_error: 0.6924 - val_loss: 0.7506 - val_mean_absolute_error: 0.7506 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6908 - mean_absolute_error: 0.6908 - val_loss: 0.7490 - val_mean_absolute_error: 0.7490 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.7472 - val_mean_absolute_error: 0.7472 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6874 - mean_absolute_error: 0.6874 - val_loss: 0.7458 - val_mean_absolute_error: 0.7458 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6858 - mean_absolute_error: 0.6858 - val_loss: 0.7440 - val_mean_absolute_error: 0.7440 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.7424 - val_mean_absolute_error: 0.7424 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.8018 - mean_absolute_error: 2.8018 - val_loss: 0.7325 - val_mean_absolute_error: 0.7325 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6768 - mean_absolute_error: 0.6768 - val_loss: 0.6633 - val_mean_absolute_error: 0.6633 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.7056 - val_mean_absolute_error: 0.7056 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.7190 - val_mean_absolute_error: 0.7190 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6958 - mean_absolute_error: 0.6958 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6719 - val_mean_absolute_error: 0.6719 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6704 - mean_absolute_error: 0.6704 - val_loss: 0.6569 - val_mean_absolute_error: 0.6569 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6941 - mean_absolute_error: 0.6941 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6820 - mean_absolute_error: 0.6820 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6979 - mean_absolute_error: 0.6979 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6945 - mean_absolute_error: 0.6945 - val_loss: 0.6710 - val_mean_absolute_error: 0.6710 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6718 - mean_absolute_error: 0.6718 - val_loss: 0.6592 - val_mean_absolute_error: 0.6592 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6972 - mean_absolute_error: 0.6972 - val_loss: 0.6998 - val_mean_absolute_error: 0.6998 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6933 - mean_absolute_error: 0.6933 - val_loss: 0.7001 - val_mean_absolute_error: 0.7001 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6852 - mean_absolute_error: 0.6852 - val_loss: 0.6734 - val_mean_absolute_error: 0.6734 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7184 - mean_absolute_error: 0.7184 - val_loss: 0.7254 - val_mean_absolute_error: 0.7254 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7050 - mean_absolute_error: 0.7050 - val_loss: 0.6701 - val_mean_absolute_error: 0.6701 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6828 - mean_absolute_error: 0.6828 - val_loss: 0.7165 - val_mean_absolute_error: 0.7165 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.7336 - val_mean_absolute_error: 0.7336 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7194 - mean_absolute_error: 0.7194 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6724 - mean_absolute_error: 0.6724 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6870 - mean_absolute_error: 0.6870 - val_loss: 0.7188 - val_mean_absolute_error: 0.7188 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7050 - mean_absolute_error: 0.7050 - val_loss: 0.6570 - val_mean_absolute_error: 0.6570 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7020 - mean_absolute_error: 0.7020 - val_loss: 0.7255 - val_mean_absolute_error: 0.7255 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6683 - mean_absolute_error: 0.6683 - val_loss: 0.6683 - val_mean_absolute_error: 0.6683 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6776 - mean_absolute_error: 0.6776 - val_loss: 0.6641 - val_mean_absolute_error: 0.6641 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6931 - mean_absolute_error: 0.6931 - val_loss: 0.6911 - val_mean_absolute_error: 0.6911 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6937 - mean_absolute_error: 0.6937 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6801 - mean_absolute_error: 0.6801 - val_loss: 0.7187 - val_mean_absolute_error: 0.7187 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6700 - mean_absolute_error: 0.6700 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6817 - mean_absolute_error: 0.6817 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6917 - mean_absolute_error: 0.6917 - val_loss: 0.7124 - val_mean_absolute_error: 0.7124 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.6999 - val_mean_absolute_error: 0.6999 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6910 - mean_absolute_error: 0.6910 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6736 - mean_absolute_error: 0.6736 - val_loss: 0.6960 - val_mean_absolute_error: 0.6960 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6864 - mean_absolute_error: 0.6864 - val_loss: 0.6710 - val_mean_absolute_error: 0.6710 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6941 - mean_absolute_error: 0.6941 - val_loss: 0.6720 - val_mean_absolute_error: 0.6720 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6742 - mean_absolute_error: 0.6742 - val_loss: 0.6682 - val_mean_absolute_error: 0.6682 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6894 - mean_absolute_error: 0.6894 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6762 - mean_absolute_error: 0.6762 - val_loss: 0.6677 - val_mean_absolute_error: 0.6677 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6743 - mean_absolute_error: 0.6743 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6964 - mean_absolute_error: 0.6964 - val_loss: 0.7031 - val_mean_absolute_error: 0.7031 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6964 - mean_absolute_error: 0.6964 - val_loss: 0.7220 - val_mean_absolute_error: 0.7220 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6889 - mean_absolute_error: 0.6889 - val_loss: 0.6863 - val_mean_absolute_error: 0.6863 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6871 - mean_absolute_error: 0.6871 - val_loss: 0.7345 - val_mean_absolute_error: 0.7345 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6803 - mean_absolute_error: 0.6803 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.7322 - val_mean_absolute_error: 0.7322 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6866 - mean_absolute_error: 0.6866 - val_loss: 0.6774 - val_mean_absolute_error: 0.6774 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.2884 - mean_absolute_error: 2.2884 - val_loss: 0.7245 - val_mean_absolute_error: 0.7245 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7010 - mean_absolute_error: 0.7010 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6771 - mean_absolute_error: 0.6771 - val_loss: 0.6616 - val_mean_absolute_error: 0.6616 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6795 - mean_absolute_error: 0.6795 - val_loss: 0.6969 - val_mean_absolute_error: 0.6969 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6732 - mean_absolute_error: 0.6732 - val_loss: 0.6876 - val_mean_absolute_error: 0.6876 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6929 - mean_absolute_error: 0.6929 - val_loss: 0.6793 - val_mean_absolute_error: 0.6793 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6874 - mean_absolute_error: 0.6874 - val_loss: 0.6906 - val_mean_absolute_error: 0.6906 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7145 - mean_absolute_error: 0.7145 - val_loss: 0.6943 - val_mean_absolute_error: 0.6943 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6934 - mean_absolute_error: 0.6934 - val_loss: 0.7070 - val_mean_absolute_error: 0.7070 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6852 - mean_absolute_error: 0.6852 - val_loss: 0.7028 - val_mean_absolute_error: 0.7028 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.6709 - val_mean_absolute_error: 0.6709 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6920 - mean_absolute_error: 0.6920 - val_loss: 0.6642 - val_mean_absolute_error: 0.6642 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6891 - mean_absolute_error: 0.6891 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6848 - mean_absolute_error: 0.6848 - val_loss: 0.7108 - val_mean_absolute_error: 0.7108 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6808 - mean_absolute_error: 0.6808 - val_loss: 0.6591 - val_mean_absolute_error: 0.6591 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6803 - val_mean_absolute_error: 0.6803 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.7010 - val_mean_absolute_error: 0.7010 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6808 - mean_absolute_error: 0.6808 - val_loss: 0.7366 - val_mean_absolute_error: 0.7366 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6866 - mean_absolute_error: 0.6866 - val_loss: 0.6676 - val_mean_absolute_error: 0.6676 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6741 - mean_absolute_error: 0.6741 - val_loss: 0.6913 - val_mean_absolute_error: 0.6913 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.6993 - val_mean_absolute_error: 0.6993 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6996 - mean_absolute_error: 0.6996 - val_loss: 0.6600 - val_mean_absolute_error: 0.6600 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.6772 - val_mean_absolute_error: 0.6772 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6813 - mean_absolute_error: 0.6813 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.7203 - val_mean_absolute_error: 0.7203 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7062 - mean_absolute_error: 0.7062 - val_loss: 0.6906 - val_mean_absolute_error: 0.6906 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6778 - mean_absolute_error: 0.6778 - val_loss: 0.6699 - val_mean_absolute_error: 0.6699 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6760 - mean_absolute_error: 0.6760 - val_loss: 0.6603 - val_mean_absolute_error: 0.6603 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6864 - mean_absolute_error: 0.6864 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6722 - mean_absolute_error: 0.6722 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6835 - mean_absolute_error: 0.6835 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6748 - mean_absolute_error: 0.6748 - val_loss: 0.6751 - val_mean_absolute_error: 0.6751 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.6657 - val_mean_absolute_error: 0.6657 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6699 - mean_absolute_error: 0.6699 - val_loss: 0.6660 - val_mean_absolute_error: 0.6660 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6862 - mean_absolute_error: 0.6862 - val_loss: 0.6610 - val_mean_absolute_error: 0.6610 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6881 - mean_absolute_error: 0.6881 - val_loss: 0.7072 - val_mean_absolute_error: 0.7072 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.6751 - val_mean_absolute_error: 0.6751 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6962 - mean_absolute_error: 0.6962 - val_loss: 0.6921 - val_mean_absolute_error: 0.6921 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6814 - mean_absolute_error: 0.6814 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6835 - mean_absolute_error: 0.6835 - val_loss: 0.6807 - val_mean_absolute_error: 0.6807 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6780 - mean_absolute_error: 0.6780 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6801 - mean_absolute_error: 0.6801 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6694 - mean_absolute_error: 0.6694 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.6648 - val_mean_absolute_error: 0.6648 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6802 - mean_absolute_error: 0.6802 - val_loss: 0.6678 - val_mean_absolute_error: 0.6678 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6589 - val_mean_absolute_error: 0.6589 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6843 - mean_absolute_error: 0.6843 - val_loss: 0.6671 - val_mean_absolute_error: 0.6671 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6863 - mean_absolute_error: 0.6863 - val_loss: 0.6596 - val_mean_absolute_error: 0.6596 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6932 - mean_absolute_error: 0.6932 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.7260 - mean_absolute_error: 2.7260 - val_loss: 0.6995 - val_mean_absolute_error: 0.6995 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.6763 - val_mean_absolute_error: 0.6763 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6684 - mean_absolute_error: 0.6684 - val_loss: 0.6603 - val_mean_absolute_error: 0.6603 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6690 - mean_absolute_error: 0.6690 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6645 - val_mean_absolute_error: 0.6645 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6736 - mean_absolute_error: 0.6736 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6695 - mean_absolute_error: 0.6695 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6670 - mean_absolute_error: 0.6670 - val_loss: 0.6610 - val_mean_absolute_error: 0.6610 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6667 - mean_absolute_error: 0.6667 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6746 - mean_absolute_error: 0.6746 - val_loss: 0.6664 - val_mean_absolute_error: 0.6664 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6702 - mean_absolute_error: 0.6702 - val_loss: 0.6654 - val_mean_absolute_error: 0.6654 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6668 - mean_absolute_error: 0.6668 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6594 - val_mean_absolute_error: 0.6594 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6649 - mean_absolute_error: 0.6649 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6550 - val_mean_absolute_error: 0.6550 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6597 - val_mean_absolute_error: 0.6597 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6593 - val_mean_absolute_error: 0.6593 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6650 - mean_absolute_error: 0.6650 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6673 - mean_absolute_error: 0.6673 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 1/50 35/35 [==============================] - 1s 17ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6280 - mean_absolute_error: 5.6280 - val_loss: 5.6107 - val_mean_absolute_error: 5.6107 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5223 - mean_absolute_error: 5.5223 - val_loss: 5.4357 - val_mean_absolute_error: 5.4357 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3126 - mean_absolute_error: 5.3126 - val_loss: 5.1763 - val_mean_absolute_error: 5.1763 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 4.9282 - mean_absolute_error: 4.9282 - val_loss: 4.6390 - val_mean_absolute_error: 4.6390 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1208 - mean_absolute_error: 4.1208 - val_loss: 3.5274 - val_mean_absolute_error: 3.5274 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6942 - mean_absolute_error: 2.6942 - val_loss: 2.0182 - val_mean_absolute_error: 2.0182 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6072 - mean_absolute_error: 1.6072 - val_loss: 1.5380 - val_mean_absolute_error: 1.5380 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3414 - mean_absolute_error: 1.3414 - val_loss: 1.3561 - val_mean_absolute_error: 1.3561 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2142 - mean_absolute_error: 1.2142 - val_loss: 1.2363 - val_mean_absolute_error: 1.2363 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1214 - mean_absolute_error: 1.1214 - val_loss: 1.1347 - val_mean_absolute_error: 1.1347 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0385 - mean_absolute_error: 1.0385 - val_loss: 1.0434 - val_mean_absolute_error: 1.0434 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9651 - mean_absolute_error: 0.9651 - val_loss: 0.9722 - val_mean_absolute_error: 0.9722 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9066 - mean_absolute_error: 0.9066 - val_loss: 0.9118 - val_mean_absolute_error: 0.9118 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8574 - mean_absolute_error: 0.8574 - val_loss: 0.8682 - val_mean_absolute_error: 0.8682 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8156 - mean_absolute_error: 0.8156 - val_loss: 0.8269 - val_mean_absolute_error: 0.8269 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7728 - mean_absolute_error: 0.7728 - val_loss: 0.7815 - val_mean_absolute_error: 0.7815 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7353 - mean_absolute_error: 0.7353 - val_loss: 0.7499 - val_mean_absolute_error: 0.7499 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7011 - mean_absolute_error: 0.7011 - val_loss: 0.7110 - val_mean_absolute_error: 0.7110 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6598 - mean_absolute_error: 0.6598 - val_loss: 0.6728 - val_mean_absolute_error: 0.6728 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6247 - mean_absolute_error: 0.6247 - val_loss: 0.6464 - val_mean_absolute_error: 0.6464 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6010 - mean_absolute_error: 0.6010 - val_loss: 0.6243 - val_mean_absolute_error: 0.6243 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5852 - mean_absolute_error: 0.5852 - val_loss: 0.6089 - val_mean_absolute_error: 0.6089 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5682 - mean_absolute_error: 0.5682 - val_loss: 0.6000 - val_mean_absolute_error: 0.6000 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5569 - mean_absolute_error: 0.5569 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5483 - mean_absolute_error: 0.5483 - val_loss: 0.5756 - val_mean_absolute_error: 0.5756 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5434 - mean_absolute_error: 0.5434 - val_loss: 0.5690 - val_mean_absolute_error: 0.5690 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5362 - mean_absolute_error: 0.5362 - val_loss: 0.5650 - val_mean_absolute_error: 0.5650 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5656 - val_mean_absolute_error: 0.5656 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5303 - mean_absolute_error: 0.5303 - val_loss: 0.5566 - val_mean_absolute_error: 0.5566 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5520 - val_mean_absolute_error: 0.5520 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5201 - mean_absolute_error: 0.5201 - val_loss: 0.5508 - val_mean_absolute_error: 0.5508 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5443 - val_mean_absolute_error: 0.5443 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5129 - mean_absolute_error: 0.5129 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5129 - mean_absolute_error: 0.5129 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5089 - mean_absolute_error: 0.5089 - val_loss: 0.5372 - val_mean_absolute_error: 0.5372 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5124 - mean_absolute_error: 0.5124 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5068 - mean_absolute_error: 0.5068 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5078 - mean_absolute_error: 0.5078 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5361 - val_mean_absolute_error: 0.5361 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5001 - mean_absolute_error: 0.5001 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5252 - val_mean_absolute_error: 0.5252 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4920 - mean_absolute_error: 0.4920 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6261 - mean_absolute_error: 5.6261 - val_loss: 5.6187 - val_mean_absolute_error: 5.6187 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5782 - mean_absolute_error: 5.5782 - val_loss: 5.5537 - val_mean_absolute_error: 5.5537 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5086 - mean_absolute_error: 5.5086 - val_loss: 5.4731 - val_mean_absolute_error: 5.4731 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4000 - mean_absolute_error: 5.4000 - val_loss: 5.3235 - val_mean_absolute_error: 5.3235 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1606 - mean_absolute_error: 5.1606 - val_loss: 4.9781 - val_mean_absolute_error: 4.9781 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.6227 - mean_absolute_error: 4.6227 - val_loss: 4.2234 - val_mean_absolute_error: 4.2234 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 3.4961 - mean_absolute_error: 3.4961 - val_loss: 2.8040 - val_mean_absolute_error: 2.8040 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1476 - mean_absolute_error: 2.1476 - val_loss: 1.8510 - val_mean_absolute_error: 1.8510 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4581 - mean_absolute_error: 1.4581 - val_loss: 1.3542 - val_mean_absolute_error: 1.3542 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1422 - mean_absolute_error: 1.1422 - val_loss: 1.1502 - val_mean_absolute_error: 1.1502 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9990 - mean_absolute_error: 0.9990 - val_loss: 1.0472 - val_mean_absolute_error: 1.0472 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9271 - mean_absolute_error: 0.9271 - val_loss: 1.0004 - val_mean_absolute_error: 1.0004 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8788 - mean_absolute_error: 0.8788 - val_loss: 0.9403 - val_mean_absolute_error: 0.9403 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8372 - mean_absolute_error: 0.8372 - val_loss: 0.8988 - val_mean_absolute_error: 0.8988 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8017 - mean_absolute_error: 0.8017 - val_loss: 0.8618 - val_mean_absolute_error: 0.8618 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7693 - mean_absolute_error: 0.7693 - val_loss: 0.8391 - val_mean_absolute_error: 0.8391 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7404 - mean_absolute_error: 0.7404 - val_loss: 0.7994 - val_mean_absolute_error: 0.7994 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7156 - mean_absolute_error: 0.7156 - val_loss: 0.7705 - val_mean_absolute_error: 0.7705 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.7429 - val_mean_absolute_error: 0.7429 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6687 - mean_absolute_error: 0.6687 - val_loss: 0.7161 - val_mean_absolute_error: 0.7161 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6506 - mean_absolute_error: 0.6506 - val_loss: 0.7001 - val_mean_absolute_error: 0.7001 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6366 - mean_absolute_error: 0.6366 - val_loss: 0.6860 - val_mean_absolute_error: 0.6860 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6172 - mean_absolute_error: 0.6172 - val_loss: 0.6728 - val_mean_absolute_error: 0.6728 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6077 - mean_absolute_error: 0.6077 - val_loss: 0.6643 - val_mean_absolute_error: 0.6643 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5947 - mean_absolute_error: 0.5947 - val_loss: 0.6587 - val_mean_absolute_error: 0.6587 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5845 - mean_absolute_error: 0.5845 - val_loss: 0.6378 - val_mean_absolute_error: 0.6378 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5792 - mean_absolute_error: 0.5792 - val_loss: 0.6329 - val_mean_absolute_error: 0.6329 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5712 - mean_absolute_error: 0.5712 - val_loss: 0.6251 - val_mean_absolute_error: 0.6251 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5614 - mean_absolute_error: 0.5614 - val_loss: 0.6186 - val_mean_absolute_error: 0.6186 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5555 - mean_absolute_error: 0.5555 - val_loss: 0.6061 - val_mean_absolute_error: 0.6061 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5522 - mean_absolute_error: 0.5522 - val_loss: 0.6028 - val_mean_absolute_error: 0.6028 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5483 - mean_absolute_error: 0.5483 - val_loss: 0.5993 - val_mean_absolute_error: 0.5993 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5411 - mean_absolute_error: 0.5411 - val_loss: 0.5914 - val_mean_absolute_error: 0.5914 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5367 - mean_absolute_error: 0.5367 - val_loss: 0.5853 - val_mean_absolute_error: 0.5853 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5332 - mean_absolute_error: 0.5332 - val_loss: 0.5852 - val_mean_absolute_error: 0.5852 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5799 - val_mean_absolute_error: 0.5799 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5287 - mean_absolute_error: 0.5287 - val_loss: 0.5760 - val_mean_absolute_error: 0.5760 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5224 - mean_absolute_error: 0.5224 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5277 - mean_absolute_error: 0.5277 - val_loss: 0.5759 - val_mean_absolute_error: 0.5759 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5646 - val_mean_absolute_error: 0.5646 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5654 - val_mean_absolute_error: 0.5654 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5624 - val_mean_absolute_error: 0.5624 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5106 - mean_absolute_error: 0.5106 - val_loss: 0.5628 - val_mean_absolute_error: 0.5628 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5552 - val_mean_absolute_error: 0.5552 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5108 - mean_absolute_error: 0.5108 - val_loss: 0.5554 - val_mean_absolute_error: 0.5554 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5569 - val_mean_absolute_error: 0.5569 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5517 - val_mean_absolute_error: 0.5517 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5038 - mean_absolute_error: 0.5038 - val_loss: 0.5476 - val_mean_absolute_error: 0.5476 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5022 - mean_absolute_error: 0.5022 - val_loss: 0.5473 - val_mean_absolute_error: 0.5473 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - ETA: 0s - loss: 5.5312 - mean_absolute_error: 5.531 - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 6ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 10ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.3452 - mean_absolute_error: 4.3452 - val_loss: 1.8495 - val_mean_absolute_error: 1.8495 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2680 - mean_absolute_error: 1.2680 - val_loss: 1.0567 - val_mean_absolute_error: 1.0567 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9033 - mean_absolute_error: 0.9033 - val_loss: 0.8835 - val_mean_absolute_error: 0.8835 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7561 - mean_absolute_error: 0.7561 - val_loss: 0.7496 - val_mean_absolute_error: 0.7496 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6449 - mean_absolute_error: 0.6449 - val_loss: 0.6613 - val_mean_absolute_error: 0.6613 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5828 - mean_absolute_error: 0.5828 - val_loss: 0.5959 - val_mean_absolute_error: 0.5959 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5584 - mean_absolute_error: 0.5584 - val_loss: 0.5561 - val_mean_absolute_error: 0.5561 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5347 - mean_absolute_error: 0.5347 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5080 - mean_absolute_error: 0.5080 - val_loss: 0.5456 - val_mean_absolute_error: 0.5456 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5372 - mean_absolute_error: 0.5372 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5353 - val_mean_absolute_error: 0.5353 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5111 - mean_absolute_error: 0.5111 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4990 - mean_absolute_error: 0.4990 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5025 - mean_absolute_error: 0.5025 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4970 - mean_absolute_error: 0.4970 - val_loss: 0.5448 - val_mean_absolute_error: 0.5448 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4872 - mean_absolute_error: 0.4872 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5280 - val_mean_absolute_error: 0.5280 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4829 - mean_absolute_error: 0.4829 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.4902 - val_mean_absolute_error: 0.4902 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 4.9370 - mean_absolute_error: 4.9370 - val_loss: 3.5440 - val_mean_absolute_error: 3.5440 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1864 - mean_absolute_error: 2.1864 - val_loss: 1.6011 - val_mean_absolute_error: 1.6011 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2528 - mean_absolute_error: 1.2528 - val_loss: 1.0962 - val_mean_absolute_error: 1.0962 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9041 - mean_absolute_error: 0.9041 - val_loss: 0.8731 - val_mean_absolute_error: 0.8731 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7527 - mean_absolute_error: 0.7527 - val_loss: 0.7517 - val_mean_absolute_error: 0.7517 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6609 - mean_absolute_error: 0.6609 - val_loss: 0.6801 - val_mean_absolute_error: 0.6801 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6044 - mean_absolute_error: 0.6044 - val_loss: 0.6305 - val_mean_absolute_error: 0.6305 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5730 - mean_absolute_error: 0.5730 - val_loss: 0.5987 - val_mean_absolute_error: 0.5987 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5468 - mean_absolute_error: 0.5468 - val_loss: 0.5582 - val_mean_absolute_error: 0.5582 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5270 - mean_absolute_error: 0.5270 - val_loss: 0.5487 - val_mean_absolute_error: 0.5487 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5436 - val_mean_absolute_error: 0.5436 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5089 - mean_absolute_error: 0.5089 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5459 - val_mean_absolute_error: 0.5459 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4942 - mean_absolute_error: 0.4942 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4959 - mean_absolute_error: 0.4959 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4877 - mean_absolute_error: 0.4877 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4895 - mean_absolute_error: 0.4895 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5436 - val_mean_absolute_error: 0.5436 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4854 - mean_absolute_error: 0.4854 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 44/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5334 - val_mean_absolute_error: 0.5334 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5324 - val_mean_absolute_error: 0.5324 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5439 - val_mean_absolute_error: 0.5439 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.3118 - mean_absolute_error: 3.3118 - val_loss: 1.9259 - val_mean_absolute_error: 1.9259 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4562 - mean_absolute_error: 1.4562 - val_loss: 1.3531 - val_mean_absolute_error: 1.3531 Epoch 3/50 35/35 [==============================] - 0s 3ms/step - loss: 1.1314 - mean_absolute_error: 1.1314 - val_loss: 1.1253 - val_mean_absolute_error: 1.1253 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9891 - mean_absolute_error: 0.9891 - val_loss: 1.0097 - val_mean_absolute_error: 1.0097 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9033 - mean_absolute_error: 0.9033 - val_loss: 0.9370 - val_mean_absolute_error: 0.9370 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8408 - mean_absolute_error: 0.8408 - val_loss: 0.8727 - val_mean_absolute_error: 0.8727 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7867 - mean_absolute_error: 0.7867 - val_loss: 0.8323 - val_mean_absolute_error: 0.8323 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7449 - mean_absolute_error: 0.7449 - val_loss: 0.7920 - val_mean_absolute_error: 0.7920 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7084 - mean_absolute_error: 0.7084 - val_loss: 0.7507 - val_mean_absolute_error: 0.7507 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6815 - mean_absolute_error: 0.6815 - val_loss: 0.7269 - val_mean_absolute_error: 0.7269 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6542 - mean_absolute_error: 0.6542 - val_loss: 0.6999 - val_mean_absolute_error: 0.6999 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6350 - mean_absolute_error: 0.6350 - val_loss: 0.6814 - val_mean_absolute_error: 0.6814 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6186 - mean_absolute_error: 0.6186 - val_loss: 0.6637 - val_mean_absolute_error: 0.6637 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6017 - mean_absolute_error: 0.6017 - val_loss: 0.6491 - val_mean_absolute_error: 0.6491 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5886 - mean_absolute_error: 0.5886 - val_loss: 0.6380 - val_mean_absolute_error: 0.6380 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5756 - mean_absolute_error: 0.5756 - val_loss: 0.6263 - val_mean_absolute_error: 0.6263 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5683 - mean_absolute_error: 0.5683 - val_loss: 0.6139 - val_mean_absolute_error: 0.6139 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5606 - mean_absolute_error: 0.5606 - val_loss: 0.6071 - val_mean_absolute_error: 0.6071 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5536 - mean_absolute_error: 0.5536 - val_loss: 0.5984 - val_mean_absolute_error: 0.5984 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5491 - mean_absolute_error: 0.5491 - val_loss: 0.5919 - val_mean_absolute_error: 0.5919 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5425 - mean_absolute_error: 0.5425 - val_loss: 0.5882 - val_mean_absolute_error: 0.5882 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5382 - mean_absolute_error: 0.5382 - val_loss: 0.5803 - val_mean_absolute_error: 0.5803 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5301 - mean_absolute_error: 0.5301 - val_loss: 0.5723 - val_mean_absolute_error: 0.5723 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5265 - mean_absolute_error: 0.5265 - val_loss: 0.5664 - val_mean_absolute_error: 0.5664 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5238 - mean_absolute_error: 0.5238 - val_loss: 0.5638 - val_mean_absolute_error: 0.5638 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5219 - mean_absolute_error: 0.5219 - val_loss: 0.5607 - val_mean_absolute_error: 0.5607 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5573 - val_mean_absolute_error: 0.5573 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mean_absolute_error: 0.5169 - val_loss: 0.5545 - val_mean_absolute_error: 0.5545 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5565 - val_mean_absolute_error: 0.5565 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5120 - mean_absolute_error: 0.5120 - val_loss: 0.5532 - val_mean_absolute_error: 0.5532 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5109 - mean_absolute_error: 0.5109 - val_loss: 0.5513 - val_mean_absolute_error: 0.5513 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.5462 - val_mean_absolute_error: 0.5462 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5441 - val_mean_absolute_error: 0.5441 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5437 - val_mean_absolute_error: 0.5437 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5036 - mean_absolute_error: 0.5036 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5019 - mean_absolute_error: 0.5019 - val_loss: 0.5393 - val_mean_absolute_error: 0.5393 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5002 - mean_absolute_error: 0.5002 - val_loss: 0.5378 - val_mean_absolute_error: 0.5378 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 40/50 35/35 [==============================] - 0s 3ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5338 - val_mean_absolute_error: 0.5338 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4999 - mean_absolute_error: 0.4999 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4962 - mean_absolute_error: 0.4962 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4960 - mean_absolute_error: 0.4960 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5283 - val_mean_absolute_error: 0.5283 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4925 - mean_absolute_error: 0.4925 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - ETA: 0s - loss: 5.8438 - mean_absolute_error: 5.843 - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - ETA: 0s - loss: 5.5938 - mean_absolute_error: 5.593 - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 11ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417
def good_model(x,y):
if x<y:
return "Overfit"
elif x>=y:
return "Approved"
data1['Status'] = data1.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data2['Status'] = data1.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data3['Status'] = data1.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data4['Status'] = data1.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data5['Status'] = data1.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data6['Status'] = data6.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
RMSprop_models = pd.concat([data1,data2],axis=0)
RMSprop_models.to_excel("RMSprop_models.xlsx",index=False)
SGD_models = pd.concat([data3,data3],axis=0)
SGD_models.to_excel("SGD_models.xlsx",index=False)
adam_model = pd.concat([data5,data6],axis=0)
adam_model.to_excel('adam_model1.xlsx',index=False)
def Adam_regularization(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dropout(0.2))
model1.add(Dense(8,activation='relu'))
model1.add(Dropout(0.2))
model1.add(Dense(4,activation='relu'))
model1.add(Dropout(0.2))
model1.add(Dense(2,activation='relu'))
model1.add(Dropout(0.2))
model1.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=l, decay=d)
model1.compile(optimizer=adam,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=50,validation_data=(X_test,y_test))
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data7 = Adam_regularization('adam')
Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.5128 - mean_absolute_error: 3.5128 - val_loss: 2.4685 - val_mean_absolute_error: 2.4685 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7582 - mean_absolute_error: 2.7582 - val_loss: 1.7038 - val_mean_absolute_error: 1.7038 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2629 - mean_absolute_error: 2.2629 - val_loss: 1.7593 - val_mean_absolute_error: 1.7593 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0985 - mean_absolute_error: 2.0985 - val_loss: 1.5565 - val_mean_absolute_error: 1.5565 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9166 - mean_absolute_error: 1.9166 - val_loss: 1.4910 - val_mean_absolute_error: 1.4910 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8425 - mean_absolute_error: 1.8425 - val_loss: 1.5234 - val_mean_absolute_error: 1.5234 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7742 - mean_absolute_error: 1.7742 - val_loss: 1.3724 - val_mean_absolute_error: 1.3724 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6980 - mean_absolute_error: 1.6980 - val_loss: 1.3273 - val_mean_absolute_error: 1.3273 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6823 - mean_absolute_error: 1.6823 - val_loss: 1.2593 - val_mean_absolute_error: 1.2593 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6448 - mean_absolute_error: 1.6448 - val_loss: 1.2663 - val_mean_absolute_error: 1.2663 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5908 - mean_absolute_error: 1.5908 - val_loss: 1.1642 - val_mean_absolute_error: 1.1642 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5522 - mean_absolute_error: 1.5522 - val_loss: 1.1107 - val_mean_absolute_error: 1.1107 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4121 - mean_absolute_error: 1.4121 - val_loss: 1.0746 - val_mean_absolute_error: 1.0746 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4750 - mean_absolute_error: 1.4750 - val_loss: 1.1826 - val_mean_absolute_error: 1.1826 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4509 - mean_absolute_error: 1.4509 - val_loss: 1.0918 - val_mean_absolute_error: 1.0918 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3542 - mean_absolute_error: 1.3542 - val_loss: 1.0451 - val_mean_absolute_error: 1.0451 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3371 - mean_absolute_error: 1.3371 - val_loss: 1.0285 - val_mean_absolute_error: 1.0285 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4008 - mean_absolute_error: 1.4008 - val_loss: 1.0484 - val_mean_absolute_error: 1.0484 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3808 - mean_absolute_error: 1.3808 - val_loss: 0.9779 - val_mean_absolute_error: 0.9779 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2555 - mean_absolute_error: 1.2555 - val_loss: 0.9653 - val_mean_absolute_error: 0.9653 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3137 - mean_absolute_error: 1.3137 - val_loss: 0.9564 - val_mean_absolute_error: 0.9564 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3610 - mean_absolute_error: 1.3610 - val_loss: 1.0102 - val_mean_absolute_error: 1.0102 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3615 - mean_absolute_error: 1.3615 - val_loss: 0.9517 - val_mean_absolute_error: 0.9517 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3474 - mean_absolute_error: 1.3474 - val_loss: 0.9344 - val_mean_absolute_error: 0.9344 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2805 - mean_absolute_error: 1.2805 - val_loss: 0.9651 - val_mean_absolute_error: 0.9651 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2686 - mean_absolute_error: 1.2686 - val_loss: 0.9194 - val_mean_absolute_error: 0.9194 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3174 - mean_absolute_error: 1.3174 - val_loss: 0.9199 - val_mean_absolute_error: 0.9199 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 1.2880 - mean_absolute_error: 1.2880 - val_loss: 0.9387 - val_mean_absolute_error: 0.9387 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2431 - mean_absolute_error: 1.2431 - val_loss: 0.8972 - val_mean_absolute_error: 0.8972 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2343 - mean_absolute_error: 1.2343 - val_loss: 0.9184 - val_mean_absolute_error: 0.9184 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3157 - mean_absolute_error: 1.3157 - val_loss: 0.8666 - val_mean_absolute_error: 0.8666 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2215 - mean_absolute_error: 1.2215 - val_loss: 0.9007 - val_mean_absolute_error: 0.9007 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2126 - mean_absolute_error: 1.2126 - val_loss: 0.8964 - val_mean_absolute_error: 0.8964 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2451 - mean_absolute_error: 1.2451 - val_loss: 0.8885 - val_mean_absolute_error: 0.8885 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2204 - mean_absolute_error: 1.2204 - val_loss: 0.9022 - val_mean_absolute_error: 0.9022 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2382 - mean_absolute_error: 1.2382 - val_loss: 0.8812 - val_mean_absolute_error: 0.8812 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2523 - mean_absolute_error: 1.2523 - val_loss: 0.8828 - val_mean_absolute_error: 0.8828 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2132 - mean_absolute_error: 1.2132 - val_loss: 0.8688 - val_mean_absolute_error: 0.8688 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1838 - mean_absolute_error: 1.1838 - val_loss: 0.8908 - val_mean_absolute_error: 0.8908 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1822 - mean_absolute_error: 1.1822 - val_loss: 0.8897 - val_mean_absolute_error: 0.8897 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1738 - mean_absolute_error: 1.1738 - val_loss: 0.8773 - val_mean_absolute_error: 0.8773 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1758 - mean_absolute_error: 1.1758 - val_loss: 0.8645 - val_mean_absolute_error: 0.8645 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1215 - mean_absolute_error: 1.1215 - val_loss: 0.8646 - val_mean_absolute_error: 0.8646 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1103 - mean_absolute_error: 1.1103 - val_loss: 0.8827 - val_mean_absolute_error: 0.8827 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1683 - mean_absolute_error: 1.1683 - val_loss: 0.8757 - val_mean_absolute_error: 0.8757 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1714 - mean_absolute_error: 1.1714 - val_loss: 0.8701 - val_mean_absolute_error: 0.8701 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1223 - mean_absolute_error: 1.1223 - val_loss: 0.8591 - val_mean_absolute_error: 0.8591 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1697 - mean_absolute_error: 1.1697 - val_loss: 0.8621 - val_mean_absolute_error: 0.8621 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1401 - mean_absolute_error: 1.1401 - val_loss: 0.8640 - val_mean_absolute_error: 0.8640 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2086 - mean_absolute_error: 1.2086 - val_loss: 0.8845 - val_mean_absolute_error: 0.8845 Epoch 1/50 35/35 [==============================] - 2s 8ms/step - loss: 5.5887 - mean_absolute_error: 5.5887 - val_loss: 5.5767 - val_mean_absolute_error: 5.5767 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5577 - mean_absolute_error: 5.5577 - val_loss: 5.5550 - val_mean_absolute_error: 5.5550 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5416 - mean_absolute_error: 5.5416 - val_loss: 5.5419 - val_mean_absolute_error: 5.5419 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5323 - mean_absolute_error: 5.5323 - val_loss: 5.5324 - val_mean_absolute_error: 5.5324 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5244 - mean_absolute_error: 5.5244 - val_loss: 5.5252 - val_mean_absolute_error: 5.5252 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5178 - mean_absolute_error: 5.5178 - val_loss: 5.5194 - val_mean_absolute_error: 5.5194 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5155 - mean_absolute_error: 5.5155 - val_loss: 5.5143 - val_mean_absolute_error: 5.5143 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5098 - mean_absolute_error: 5.5098 - val_loss: 5.5100 - val_mean_absolute_error: 5.5100 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5056 - mean_absolute_error: 5.5056 - val_loss: 5.5063 - val_mean_absolute_error: 5.5063 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5020 - mean_absolute_error: 5.5020 - val_loss: 5.5030 - val_mean_absolute_error: 5.5030 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4986 - mean_absolute_error: 5.4986 - val_loss: 5.4999 - val_mean_absolute_error: 5.4999 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4943 - mean_absolute_error: 5.4943 - val_loss: 5.4971 - val_mean_absolute_error: 5.4971 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4930 - mean_absolute_error: 5.4930 - val_loss: 5.4946 - val_mean_absolute_error: 5.4946 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4948 - mean_absolute_error: 5.4948 - val_loss: 5.4923 - val_mean_absolute_error: 5.4923 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4913 - mean_absolute_error: 5.4913 - val_loss: 5.4901 - val_mean_absolute_error: 5.4901 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4908 - mean_absolute_error: 5.4908 - val_loss: 5.4881 - val_mean_absolute_error: 5.4881 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4861 - mean_absolute_error: 5.4861 - val_loss: 5.4861 - val_mean_absolute_error: 5.4861 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4836 - mean_absolute_error: 5.4836 - val_loss: 5.4843 - val_mean_absolute_error: 5.4843 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4820 - mean_absolute_error: 5.4820 - val_loss: 5.4826 - val_mean_absolute_error: 5.4826 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4777 - mean_absolute_error: 5.4777 - val_loss: 5.4810 - val_mean_absolute_error: 5.4810 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4762 - mean_absolute_error: 5.4762 - val_loss: 5.4795 - val_mean_absolute_error: 5.4795 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4778 - mean_absolute_error: 5.4778 - val_loss: 5.4781 - val_mean_absolute_error: 5.4781 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4742 - mean_absolute_error: 5.4742 - val_loss: 5.4767 - val_mean_absolute_error: 5.4767 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4745 - mean_absolute_error: 5.4745 - val_loss: 5.4754 - val_mean_absolute_error: 5.4754 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4757 - mean_absolute_error: 5.4757 - val_loss: 5.4741 - val_mean_absolute_error: 5.4741 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4720 - mean_absolute_error: 5.4720 - val_loss: 5.4729 - val_mean_absolute_error: 5.4729 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4701 - mean_absolute_error: 5.4701 - val_loss: 5.4718 - val_mean_absolute_error: 5.4718 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4670 - mean_absolute_error: 5.4670 - val_loss: 5.4707 - val_mean_absolute_error: 5.4707 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4652 - mean_absolute_error: 5.4652 - val_loss: 5.4696 - val_mean_absolute_error: 5.4696 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4642 - mean_absolute_error: 5.4642 - val_loss: 5.4686 - val_mean_absolute_error: 5.4686 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4669 - mean_absolute_error: 5.4669 - val_loss: 5.4676 - val_mean_absolute_error: 5.4676 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4604 - mean_absolute_error: 5.4604 - val_loss: 5.4666 - val_mean_absolute_error: 5.4666 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4639 - mean_absolute_error: 5.4639 - val_loss: 5.4657 - val_mean_absolute_error: 5.4657 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4570 - mean_absolute_error: 5.4570 - val_loss: 5.4647 - val_mean_absolute_error: 5.4647 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4578 - mean_absolute_error: 5.4578 - val_loss: 5.4638 - val_mean_absolute_error: 5.4638 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4619 - mean_absolute_error: 5.4619 - val_loss: 5.4630 - val_mean_absolute_error: 5.4630 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4636 - mean_absolute_error: 5.4636 - val_loss: 5.4621 - val_mean_absolute_error: 5.4621 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4608 - mean_absolute_error: 5.4608 - val_loss: 5.4613 - val_mean_absolute_error: 5.4613 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4586 - mean_absolute_error: 5.4586 - val_loss: 5.4605 - val_mean_absolute_error: 5.4605 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4550 - mean_absolute_error: 5.4550 - val_loss: 5.4598 - val_mean_absolute_error: 5.4598 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4562 - mean_absolute_error: 5.4562 - val_loss: 5.4590 - val_mean_absolute_error: 5.4590 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4547 - mean_absolute_error: 5.4547 - val_loss: 5.4583 - val_mean_absolute_error: 5.4583 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4527 - mean_absolute_error: 5.4527 - val_loss: 5.4575 - val_mean_absolute_error: 5.4575 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4565 - mean_absolute_error: 5.4565 - val_loss: 5.4568 - val_mean_absolute_error: 5.4568 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4544 - mean_absolute_error: 5.4544 - val_loss: 5.4561 - val_mean_absolute_error: 5.4561 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4506 - mean_absolute_error: 5.4506 - val_loss: 5.4554 - val_mean_absolute_error: 5.4554 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4504 - mean_absolute_error: 5.4504 - val_loss: 5.4547 - val_mean_absolute_error: 5.4547 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4501 - mean_absolute_error: 5.4501 - val_loss: 5.4541 - val_mean_absolute_error: 5.4541 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4527 - mean_absolute_error: 5.4527 - val_loss: 5.4535 - val_mean_absolute_error: 5.4535 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4506 - mean_absolute_error: 5.4506 - val_loss: 5.4528 - val_mean_absolute_error: 5.4528 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.0376 - mean_absolute_error: 3.0376 - val_loss: 1.4818 - val_mean_absolute_error: 1.4818 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2544 - mean_absolute_error: 1.2544 - val_loss: 0.7736 - val_mean_absolute_error: 0.7736 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1050 - mean_absolute_error: 1.1050 - val_loss: 0.6958 - val_mean_absolute_error: 0.6958 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9378 - mean_absolute_error: 0.9378 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8178 - mean_absolute_error: 0.8178 - val_loss: 0.6662 - val_mean_absolute_error: 0.6662 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6868 - mean_absolute_error: 0.6868 - val_loss: 0.6388 - val_mean_absolute_error: 0.6388 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6086 - mean_absolute_error: 0.6086 - val_loss: 0.5328 - val_mean_absolute_error: 0.5328 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5908 - mean_absolute_error: 0.5908 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6140 - mean_absolute_error: 0.6140 - val_loss: 0.5639 - val_mean_absolute_error: 0.5639 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6071 - mean_absolute_error: 0.6071 - val_loss: 0.5556 - val_mean_absolute_error: 0.5556 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5941 - mean_absolute_error: 0.5941 - val_loss: 0.5847 - val_mean_absolute_error: 0.5847 Epoch 12/50 35/35 [==============================] - 0s 3ms/step - loss: 0.5874 - mean_absolute_error: 0.5874 - val_loss: 0.5409 - val_mean_absolute_error: 0.5409 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6054 - mean_absolute_error: 0.6054 - val_loss: 0.5591 - val_mean_absolute_error: 0.5591 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5888 - mean_absolute_error: 0.5888 - val_loss: 0.5644 - val_mean_absolute_error: 0.5644 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5851 - mean_absolute_error: 0.5851 - val_loss: 0.5666 - val_mean_absolute_error: 0.5666 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5910 - mean_absolute_error: 0.5910 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 17/50 35/35 [==============================] - ETA: 0s - loss: 0.5641 - mean_absolute_error: 0.564 - 0s 2ms/step - loss: 0.5926 - mean_absolute_error: 0.5926 - val_loss: 0.5935 - val_mean_absolute_error: 0.5935 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5848 - mean_absolute_error: 0.5848 - val_loss: 0.5822 - val_mean_absolute_error: 0.5822 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5945 - mean_absolute_error: 0.5945 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5766 - mean_absolute_error: 0.5766 - val_loss: 0.5789 - val_mean_absolute_error: 0.5789 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5938 - mean_absolute_error: 0.5938 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5768 - mean_absolute_error: 0.5768 - val_loss: 0.5721 - val_mean_absolute_error: 0.5721 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5862 - mean_absolute_error: 0.5862 - val_loss: 0.5635 - val_mean_absolute_error: 0.5635 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5983 - mean_absolute_error: 0.5983 - val_loss: 0.6715 - val_mean_absolute_error: 0.6715 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6566 - mean_absolute_error: 0.6566 - val_loss: 0.6793 - val_mean_absolute_error: 0.6793 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6844 - val_mean_absolute_error: 0.6844 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6499 - mean_absolute_error: 0.6499 - val_loss: 0.6795 - val_mean_absolute_error: 0.6795 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.6948 - val_mean_absolute_error: 0.6948 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6588 - mean_absolute_error: 0.6588 - val_loss: 0.6669 - val_mean_absolute_error: 0.6669 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6670 - val_mean_absolute_error: 0.6670 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6352 - mean_absolute_error: 0.6352 - val_loss: 0.6754 - val_mean_absolute_error: 0.6754 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6835 - mean_absolute_error: 0.6835 - val_loss: 0.6945 - val_mean_absolute_error: 0.6945 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6716 - mean_absolute_error: 0.6716 - val_loss: 0.6872 - val_mean_absolute_error: 0.6872 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6575 - mean_absolute_error: 0.6575 - val_loss: 0.6676 - val_mean_absolute_error: 0.6676 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6721 - mean_absolute_error: 0.6721 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6790 - mean_absolute_error: 0.6790 - val_loss: 0.6709 - val_mean_absolute_error: 0.6709 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 40/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6787 - mean_absolute_error: 0.6787 - val_loss: 0.6894 - val_mean_absolute_error: 0.6894 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6783 - mean_absolute_error: 0.6783 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6706 - mean_absolute_error: 0.6706 - val_loss: 0.6688 - val_mean_absolute_error: 0.6688 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6676 - val_mean_absolute_error: 0.6676 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6623 - val_mean_absolute_error: 0.6623 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6721 - mean_absolute_error: 0.6721 - val_loss: 0.6666 - val_mean_absolute_error: 0.6666 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6660 - mean_absolute_error: 0.6660 - val_loss: 0.6681 - val_mean_absolute_error: 0.6681 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6693 - mean_absolute_error: 0.6693 - val_loss: 0.6736 - val_mean_absolute_error: 0.6736 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6709 - mean_absolute_error: 0.6709 - val_loss: 0.6620 - val_mean_absolute_error: 0.6620 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6746 - mean_absolute_error: 0.6746 - val_loss: 0.6646 - val_mean_absolute_error: 0.6646 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6504 - mean_absolute_error: 0.6504 - val_loss: 0.6639 - val_mean_absolute_error: 0.6639 Epoch 1/50 35/35 [==============================] - 1s 10ms/step - loss: 2.1821 - mean_absolute_error: 2.1821 - val_loss: 0.8399 - val_mean_absolute_error: 0.8399 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 1.2094 - mean_absolute_error: 1.2094 - val_loss: 0.7161 - val_mean_absolute_error: 0.7161 Epoch 3/50 35/35 [==============================] - 0s 3ms/step - loss: 0.9789 - mean_absolute_error: 0.9789 - val_loss: 0.7002 - val_mean_absolute_error: 0.7002 Epoch 4/50 35/35 [==============================] - 0s 3ms/step - loss: 0.8099 - mean_absolute_error: 0.8099 - val_loss: 0.6791 - val_mean_absolute_error: 0.6791 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7190 - mean_absolute_error: 0.7190 - val_loss: 0.6455 - val_mean_absolute_error: 0.6455 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6604 - mean_absolute_error: 0.6604 - val_loss: 0.6033 - val_mean_absolute_error: 0.6033 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6302 - mean_absolute_error: 0.6302 - val_loss: 0.5636 - val_mean_absolute_error: 0.5636 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5939 - mean_absolute_error: 0.5939 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5775 - mean_absolute_error: 0.5775 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5995 - mean_absolute_error: 0.5995 - val_loss: 0.5556 - val_mean_absolute_error: 0.5556 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5824 - mean_absolute_error: 0.5824 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5717 - mean_absolute_error: 0.5717 - val_loss: 0.5467 - val_mean_absolute_error: 0.5467 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5646 - mean_absolute_error: 0.5646 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5612 - mean_absolute_error: 0.5612 - val_loss: 0.4842 - val_mean_absolute_error: 0.4842 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5629 - mean_absolute_error: 0.5629 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5623 - mean_absolute_error: 0.5623 - val_loss: 0.5892 - val_mean_absolute_error: 0.5892 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5736 - mean_absolute_error: 0.5736 - val_loss: 0.5440 - val_mean_absolute_error: 0.5440 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5618 - mean_absolute_error: 0.5618 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5827 - mean_absolute_error: 0.5827 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5739 - mean_absolute_error: 0.5739 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5699 - mean_absolute_error: 0.5699 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5678 - mean_absolute_error: 0.5678 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5606 - mean_absolute_error: 0.5606 - val_loss: 0.5253 - val_mean_absolute_error: 0.5253 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5575 - mean_absolute_error: 0.5575 - val_loss: 0.5562 - val_mean_absolute_error: 0.5562 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5746 - mean_absolute_error: 0.5746 - val_loss: 0.5411 - val_mean_absolute_error: 0.5411 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5551 - mean_absolute_error: 0.5551 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5418 - mean_absolute_error: 0.5418 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5685 - mean_absolute_error: 0.5685 - val_loss: 0.5749 - val_mean_absolute_error: 0.5749 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5724 - mean_absolute_error: 0.5724 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5744 - mean_absolute_error: 0.5744 - val_loss: 0.5630 - val_mean_absolute_error: 0.5630 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5538 - mean_absolute_error: 0.5538 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5452 - mean_absolute_error: 0.5452 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5549 - mean_absolute_error: 0.5549 - val_loss: 0.5537 - val_mean_absolute_error: 0.5537 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5544 - mean_absolute_error: 0.5544 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5520 - mean_absolute_error: 0.5520 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5574 - mean_absolute_error: 0.5574 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5765 - mean_absolute_error: 0.5765 - val_loss: 0.5468 - val_mean_absolute_error: 0.5468 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5615 - mean_absolute_error: 0.5615 - val_loss: 0.5643 - val_mean_absolute_error: 0.5643 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5711 - mean_absolute_error: 0.5711 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5567 - val_mean_absolute_error: 0.5567 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5719 - mean_absolute_error: 0.5719 - val_loss: 0.5425 - val_mean_absolute_error: 0.5425 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5812 - mean_absolute_error: 0.5812 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5768 - mean_absolute_error: 0.5768 - val_loss: 0.5649 - val_mean_absolute_error: 0.5649 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5605 - mean_absolute_error: 0.5605 - val_loss: 0.5618 - val_mean_absolute_error: 0.5618 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5626 - mean_absolute_error: 0.5626 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5662 - mean_absolute_error: 0.5662 - val_loss: 0.5628 - val_mean_absolute_error: 0.5628 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5635 - mean_absolute_error: 0.5635 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5721 - mean_absolute_error: 0.5721 - val_loss: 0.5469 - val_mean_absolute_error: 0.5469 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5635 - mean_absolute_error: 0.5635 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5587 - mean_absolute_error: 0.5587 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 1/50 35/35 [==============================] - 2s 17ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.3959 - mean_absolute_error: 3.3959 - val_loss: 2.2211 - val_mean_absolute_error: 2.2211 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0997 - mean_absolute_error: 3.0997 - val_loss: 2.2541 - val_mean_absolute_error: 2.2541 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9627 - mean_absolute_error: 2.9627 - val_loss: 2.2408 - val_mean_absolute_error: 2.2408 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9472 - mean_absolute_error: 2.9472 - val_loss: 2.2067 - val_mean_absolute_error: 2.2067 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9876 - mean_absolute_error: 2.9876 - val_loss: 2.1290 - val_mean_absolute_error: 2.1290 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9492 - mean_absolute_error: 2.9492 - val_loss: 2.1401 - val_mean_absolute_error: 2.1401 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9041 - mean_absolute_error: 2.9041 - val_loss: 2.0991 - val_mean_absolute_error: 2.0991 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9306 - mean_absolute_error: 2.9306 - val_loss: 2.0751 - val_mean_absolute_error: 2.0751 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8101 - mean_absolute_error: 2.8101 - val_loss: 2.0598 - val_mean_absolute_error: 2.0598 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8415 - mean_absolute_error: 2.8415 - val_loss: 2.0606 - val_mean_absolute_error: 2.0606 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8187 - mean_absolute_error: 2.8187 - val_loss: 2.0445 - val_mean_absolute_error: 2.0445 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7680 - mean_absolute_error: 2.7680 - val_loss: 2.0467 - val_mean_absolute_error: 2.0467 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7407 - mean_absolute_error: 2.7407 - val_loss: 2.0389 - val_mean_absolute_error: 2.0389 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7742 - mean_absolute_error: 2.7742 - val_loss: 2.0418 - val_mean_absolute_error: 2.0418 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7470 - mean_absolute_error: 2.7470 - val_loss: 2.0223 - val_mean_absolute_error: 2.0223 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7495 - mean_absolute_error: 2.7495 - val_loss: 2.0232 - val_mean_absolute_error: 2.0232 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7847 - mean_absolute_error: 2.7847 - val_loss: 2.0028 - val_mean_absolute_error: 2.0028 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7317 - mean_absolute_error: 2.7317 - val_loss: 1.9972 - val_mean_absolute_error: 1.9972 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6734 - mean_absolute_error: 2.6734 - val_loss: 1.9917 - val_mean_absolute_error: 1.9917 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7696 - mean_absolute_error: 2.7696 - val_loss: 1.9957 - val_mean_absolute_error: 1.9957 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6884 - mean_absolute_error: 2.6884 - val_loss: 1.9976 - val_mean_absolute_error: 1.9976 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8264 - mean_absolute_error: 2.8264 - val_loss: 1.9928 - val_mean_absolute_error: 1.9928 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7103 - mean_absolute_error: 2.7103 - val_loss: 1.9791 - val_mean_absolute_error: 1.9791 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7178 - mean_absolute_error: 2.7178 - val_loss: 1.9650 - val_mean_absolute_error: 1.9650 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6692 - mean_absolute_error: 2.6692 - val_loss: 1.9588 - val_mean_absolute_error: 1.9588 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6915 - mean_absolute_error: 2.6915 - val_loss: 1.9547 - val_mean_absolute_error: 1.9547 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6928 - mean_absolute_error: 2.6928 - val_loss: 1.9515 - val_mean_absolute_error: 1.9515 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7249 - mean_absolute_error: 2.7249 - val_loss: 1.9466 - val_mean_absolute_error: 1.9466 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6788 - mean_absolute_error: 2.6788 - val_loss: 1.9434 - val_mean_absolute_error: 1.9434 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5599 - mean_absolute_error: 2.5599 - val_loss: 1.9368 - val_mean_absolute_error: 1.9368 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7294 - mean_absolute_error: 2.7294 - val_loss: 1.9354 - val_mean_absolute_error: 1.9354 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6318 - mean_absolute_error: 2.6318 - val_loss: 1.9358 - val_mean_absolute_error: 1.9358 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6776 - mean_absolute_error: 2.6776 - val_loss: 1.9301 - val_mean_absolute_error: 1.9301 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6644 - mean_absolute_error: 2.6644 - val_loss: 1.9312 - val_mean_absolute_error: 1.9312 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7263 - mean_absolute_error: 2.7263 - val_loss: 1.9286 - val_mean_absolute_error: 1.9286 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7095 - mean_absolute_error: 2.7095 - val_loss: 1.9341 - val_mean_absolute_error: 1.9341 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6196 - mean_absolute_error: 2.6196 - val_loss: 1.9361 - val_mean_absolute_error: 1.9361 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7578 - mean_absolute_error: 2.7578 - val_loss: 1.9344 - val_mean_absolute_error: 1.9344 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6396 - mean_absolute_error: 2.6396 - val_loss: 1.9325 - val_mean_absolute_error: 1.9325 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7224 - mean_absolute_error: 2.7224 - val_loss: 1.9356 - val_mean_absolute_error: 1.9356 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6064 - mean_absolute_error: 2.6064 - val_loss: 1.9314 - val_mean_absolute_error: 1.9314 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7780 - mean_absolute_error: 2.7780 - val_loss: 1.9291 - val_mean_absolute_error: 1.9291 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5367 - mean_absolute_error: 2.5367 - val_loss: 1.9244 - val_mean_absolute_error: 1.9244 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6128 - mean_absolute_error: 2.6128 - val_loss: 1.9223 - val_mean_absolute_error: 1.9223 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5611 - mean_absolute_error: 2.5611 - val_loss: 1.9176 - val_mean_absolute_error: 1.9176 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7175 - mean_absolute_error: 2.7175 - val_loss: 1.9221 - val_mean_absolute_error: 1.9221 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7119 - mean_absolute_error: 2.7119 - val_loss: 1.9171 - val_mean_absolute_error: 1.9171 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6432 - mean_absolute_error: 2.6432 - val_loss: 1.9131 - val_mean_absolute_error: 1.9131 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6300 - mean_absolute_error: 2.6300 - val_loss: 1.9101 - val_mean_absolute_error: 1.9101 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7185 - mean_absolute_error: 2.7185 - val_loss: 1.9098 - val_mean_absolute_error: 1.9098 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - ETA: 0s - loss: 5.6875 - mean_absolute_error: 5.687 - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 2.5299 - mean_absolute_error: 2.5299 - val_loss: 0.7932 - val_mean_absolute_error: 0.7932 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9481 - mean_absolute_error: 0.9481 - val_loss: 0.7138 - val_mean_absolute_error: 0.7138 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.5719 - val_mean_absolute_error: 0.5719 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6221 - mean_absolute_error: 0.6221 - val_loss: 0.5936 - val_mean_absolute_error: 0.5936 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5851 - mean_absolute_error: 0.5851 - val_loss: 0.5582 - val_mean_absolute_error: 0.5582 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5974 - mean_absolute_error: 0.5974 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5806 - mean_absolute_error: 0.5806 - val_loss: 0.5570 - val_mean_absolute_error: 0.5570 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6034 - mean_absolute_error: 0.6034 - val_loss: 0.5523 - val_mean_absolute_error: 0.5523 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5888 - mean_absolute_error: 0.5888 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5675 - mean_absolute_error: 0.5675 - val_loss: 0.5989 - val_mean_absolute_error: 0.5989 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5913 - mean_absolute_error: 0.5913 - val_loss: 0.5629 - val_mean_absolute_error: 0.5629 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5963 - mean_absolute_error: 0.5963 - val_loss: 0.5473 - val_mean_absolute_error: 0.5473 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6088 - mean_absolute_error: 0.6088 - val_loss: 0.5767 - val_mean_absolute_error: 0.5767 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6115 - mean_absolute_error: 0.6115 - val_loss: 0.6067 - val_mean_absolute_error: 0.6067 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6054 - mean_absolute_error: 0.6054 - val_loss: 0.5806 - val_mean_absolute_error: 0.5806 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6143 - mean_absolute_error: 0.6143 - val_loss: 0.5787 - val_mean_absolute_error: 0.5787 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6216 - mean_absolute_error: 0.6216 - val_loss: 0.5954 - val_mean_absolute_error: 0.5954 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5834 - mean_absolute_error: 0.5834 - val_loss: 0.5882 - val_mean_absolute_error: 0.5882 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6033 - mean_absolute_error: 0.6033 - val_loss: 0.6017 - val_mean_absolute_error: 0.6017 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5923 - mean_absolute_error: 0.5923 - val_loss: 0.5814 - val_mean_absolute_error: 0.5814 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6463 - mean_absolute_error: 0.6463 - val_loss: 0.6119 - val_mean_absolute_error: 0.6119 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6174 - mean_absolute_error: 0.6174 - val_loss: 0.5746 - val_mean_absolute_error: 0.5746 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6212 - mean_absolute_error: 0.6212 - val_loss: 0.5825 - val_mean_absolute_error: 0.5825 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6147 - mean_absolute_error: 0.6147 - val_loss: 0.6085 - val_mean_absolute_error: 0.6085 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6142 - mean_absolute_error: 0.6142 - val_loss: 0.6718 - val_mean_absolute_error: 0.6718 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6480 - mean_absolute_error: 0.6480 - val_loss: 0.6304 - val_mean_absolute_error: 0.6304 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6454 - mean_absolute_error: 0.6454 - val_loss: 0.6104 - val_mean_absolute_error: 0.6104 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6356 - mean_absolute_error: 0.6356 - val_loss: 0.6299 - val_mean_absolute_error: 0.6299 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6233 - mean_absolute_error: 0.6233 - val_loss: 0.6339 - val_mean_absolute_error: 0.6339 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6450 - mean_absolute_error: 0.6450 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6598 - mean_absolute_error: 0.6598 - val_loss: 0.6710 - val_mean_absolute_error: 0.6710 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6606 - val_mean_absolute_error: 0.6606 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6338 - mean_absolute_error: 0.6338 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6706 - mean_absolute_error: 0.6706 - val_loss: 0.6663 - val_mean_absolute_error: 0.6663 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6604 - mean_absolute_error: 0.6604 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6709 - val_mean_absolute_error: 0.6709 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6541 - mean_absolute_error: 0.6541 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6733 - mean_absolute_error: 0.6733 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6344 - mean_absolute_error: 0.6344 - val_loss: 0.6689 - val_mean_absolute_error: 0.6689 Epoch 40/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6331 - mean_absolute_error: 0.6331 - val_loss: 0.6590 - val_mean_absolute_error: 0.6590 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6467 - mean_absolute_error: 0.6467 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6748 - mean_absolute_error: 0.6748 - val_loss: 0.6940 - val_mean_absolute_error: 0.6940 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6572 - mean_absolute_error: 0.6572 - val_loss: 0.6736 - val_mean_absolute_error: 0.6736 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6680 - mean_absolute_error: 0.6680 - val_loss: 0.6603 - val_mean_absolute_error: 0.6603 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6476 - mean_absolute_error: 0.6476 - val_loss: 0.6416 - val_mean_absolute_error: 0.6416 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6478 - mean_absolute_error: 0.6478 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6475 - mean_absolute_error: 0.6475 - val_loss: 0.6418 - val_mean_absolute_error: 0.6418 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6532 - mean_absolute_error: 0.6532 - val_loss: 0.7723 - val_mean_absolute_error: 0.7723 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6894 - mean_absolute_error: 0.6894 - val_loss: 0.7126 - val_mean_absolute_error: 0.7126 Epoch 1/50 35/35 [==============================] - 2s 8ms/step - loss: 2.6014 - mean_absolute_error: 2.6014 - val_loss: 1.2346 - val_mean_absolute_error: 1.2346 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9709 - mean_absolute_error: 0.9709 - val_loss: 0.6086 - val_mean_absolute_error: 0.6086 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7298 - mean_absolute_error: 0.7298 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6781 - mean_absolute_error: 0.6781 - val_loss: 0.6216 - val_mean_absolute_error: 0.6216 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6469 - mean_absolute_error: 0.6469 - val_loss: 0.6282 - val_mean_absolute_error: 0.6282 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6240 - mean_absolute_error: 0.6240 - val_loss: 0.5577 - val_mean_absolute_error: 0.5577 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6210 - mean_absolute_error: 0.6210 - val_loss: 0.6540 - val_mean_absolute_error: 0.6540 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6022 - mean_absolute_error: 0.6022 - val_loss: 0.6217 - val_mean_absolute_error: 0.6217 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6097 - mean_absolute_error: 0.6097 - val_loss: 0.6090 - val_mean_absolute_error: 0.6090 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6105 - mean_absolute_error: 0.6105 - val_loss: 0.6265 - val_mean_absolute_error: 0.6265 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5975 - mean_absolute_error: 0.5975 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6005 - mean_absolute_error: 0.6005 - val_loss: 0.5929 - val_mean_absolute_error: 0.5929 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5936 - mean_absolute_error: 0.5936 - val_loss: 0.5637 - val_mean_absolute_error: 0.5637 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5990 - mean_absolute_error: 0.5990 - val_loss: 0.5667 - val_mean_absolute_error: 0.5667 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6091 - mean_absolute_error: 0.6091 - val_loss: 0.6020 - val_mean_absolute_error: 0.6020 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5896 - mean_absolute_error: 0.5896 - val_loss: 0.5963 - val_mean_absolute_error: 0.5963 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5893 - mean_absolute_error: 0.5893 - val_loss: 0.5677 - val_mean_absolute_error: 0.5677 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5723 - mean_absolute_error: 0.5723 - val_loss: 0.5790 - val_mean_absolute_error: 0.5790 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5735 - mean_absolute_error: 0.5735 - val_loss: 0.5452 - val_mean_absolute_error: 0.5452 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5859 - mean_absolute_error: 0.5859 - val_loss: 0.5818 - val_mean_absolute_error: 0.5818 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5824 - mean_absolute_error: 0.5824 - val_loss: 0.5743 - val_mean_absolute_error: 0.5743 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5693 - mean_absolute_error: 0.5693 - val_loss: 0.5536 - val_mean_absolute_error: 0.5536 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5746 - mean_absolute_error: 0.5746 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5648 - mean_absolute_error: 0.5648 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5614 - mean_absolute_error: 0.5614 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5586 - mean_absolute_error: 0.5586 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5647 - mean_absolute_error: 0.5647 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5524 - mean_absolute_error: 0.5524 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5530 - mean_absolute_error: 0.5530 - val_loss: 0.5209 - val_mean_absolute_error: 0.5209 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5600 - mean_absolute_error: 0.5600 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5578 - mean_absolute_error: 0.5578 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5702 - mean_absolute_error: 0.5702 - val_loss: 0.5244 - val_mean_absolute_error: 0.5244 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5696 - mean_absolute_error: 0.5696 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5554 - mean_absolute_error: 0.5554 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5549 - mean_absolute_error: 0.5549 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5529 - mean_absolute_error: 0.5529 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5475 - mean_absolute_error: 0.5475 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5381 - mean_absolute_error: 0.5381 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5486 - mean_absolute_error: 0.5486 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5481 - mean_absolute_error: 0.5481 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5511 - mean_absolute_error: 0.5511 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5410 - mean_absolute_error: 0.5410 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5468 - mean_absolute_error: 0.5468 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5411 - mean_absolute_error: 0.5411 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5387 - mean_absolute_error: 0.5387 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5432 - mean_absolute_error: 0.5432 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5299 - mean_absolute_error: 0.5299 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5367 - mean_absolute_error: 0.5367 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5589 - mean_absolute_error: 0.5589 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.5487 - mean_absolute_error: 0.5487 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.0074 - mean_absolute_error: 3.0074 - val_loss: 2.2034 - val_mean_absolute_error: 2.2034 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6954 - mean_absolute_error: 2.6954 - val_loss: 1.7944 - val_mean_absolute_error: 1.7944 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3590 - mean_absolute_error: 2.3590 - val_loss: 1.8686 - val_mean_absolute_error: 1.8686 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4942 - mean_absolute_error: 2.4942 - val_loss: 1.8654 - val_mean_absolute_error: 1.8654 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4087 - mean_absolute_error: 2.4087 - val_loss: 1.9220 - val_mean_absolute_error: 1.9220 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2738 - mean_absolute_error: 2.2738 - val_loss: 1.8810 - val_mean_absolute_error: 1.8810 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3365 - mean_absolute_error: 2.3365 - val_loss: 1.8504 - val_mean_absolute_error: 1.8504 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3011 - mean_absolute_error: 2.3011 - val_loss: 1.8093 - val_mean_absolute_error: 1.8093 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2513 - mean_absolute_error: 2.2513 - val_loss: 1.7754 - val_mean_absolute_error: 1.7754 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3077 - mean_absolute_error: 2.3077 - val_loss: 1.7452 - val_mean_absolute_error: 1.7452 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2310 - mean_absolute_error: 2.2310 - val_loss: 1.7504 - val_mean_absolute_error: 1.7504 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1754 - mean_absolute_error: 2.1754 - val_loss: 1.7344 - val_mean_absolute_error: 1.7344 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1105 - mean_absolute_error: 2.1105 - val_loss: 1.7296 - val_mean_absolute_error: 1.7296 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1593 - mean_absolute_error: 2.1593 - val_loss: 1.7319 - val_mean_absolute_error: 1.7319 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1776 - mean_absolute_error: 2.1776 - val_loss: 1.7154 - val_mean_absolute_error: 1.7154 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0924 - mean_absolute_error: 2.0924 - val_loss: 1.6924 - val_mean_absolute_error: 1.6924 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1287 - mean_absolute_error: 2.1287 - val_loss: 1.6940 - val_mean_absolute_error: 1.6940 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1749 - mean_absolute_error: 2.1749 - val_loss: 1.6937 - val_mean_absolute_error: 1.6937 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0989 - mean_absolute_error: 2.0989 - val_loss: 1.6932 - val_mean_absolute_error: 1.6932 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1424 - mean_absolute_error: 2.1424 - val_loss: 1.6961 - val_mean_absolute_error: 1.6961 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0489 - mean_absolute_error: 2.0489 - val_loss: 1.6903 - val_mean_absolute_error: 1.6903 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0381 - mean_absolute_error: 2.0381 - val_loss: 1.6823 - val_mean_absolute_error: 1.6823 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1520 - mean_absolute_error: 2.1520 - val_loss: 1.6680 - val_mean_absolute_error: 1.6680 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0308 - mean_absolute_error: 2.0308 - val_loss: 1.6648 - val_mean_absolute_error: 1.6648 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0906 - mean_absolute_error: 2.0906 - val_loss: 1.6525 - val_mean_absolute_error: 1.6525 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1062 - mean_absolute_error: 2.1062 - val_loss: 1.6311 - val_mean_absolute_error: 1.6311 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0120 - mean_absolute_error: 2.0120 - val_loss: 1.6324 - val_mean_absolute_error: 1.6324 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0169 - mean_absolute_error: 2.0169 - val_loss: 1.6338 - val_mean_absolute_error: 1.6338 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9533 - mean_absolute_error: 1.9533 - val_loss: 1.6312 - val_mean_absolute_error: 1.6312 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9624 - mean_absolute_error: 1.9624 - val_loss: 1.6309 - val_mean_absolute_error: 1.6309 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9779 - mean_absolute_error: 1.9779 - val_loss: 1.6343 - val_mean_absolute_error: 1.6343 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0682 - mean_absolute_error: 2.0682 - val_loss: 1.6390 - val_mean_absolute_error: 1.6390 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0305 - mean_absolute_error: 2.0305 - val_loss: 1.6369 - val_mean_absolute_error: 1.6369 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9894 - mean_absolute_error: 1.9894 - val_loss: 1.6069 - val_mean_absolute_error: 1.6069 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9583 - mean_absolute_error: 1.9583 - val_loss: 1.5953 - val_mean_absolute_error: 1.5953 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0103 - mean_absolute_error: 2.0103 - val_loss: 1.6017 - val_mean_absolute_error: 1.6017 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9534 - mean_absolute_error: 1.9534 - val_loss: 1.5955 - val_mean_absolute_error: 1.5955 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9403 - mean_absolute_error: 1.9403 - val_loss: 1.5945 - val_mean_absolute_error: 1.5945 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0189 - mean_absolute_error: 2.0189 - val_loss: 1.5875 - val_mean_absolute_error: 1.5875 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9978 - mean_absolute_error: 1.9978 - val_loss: 1.5739 - val_mean_absolute_error: 1.5739 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9794 - mean_absolute_error: 1.9794 - val_loss: 1.5707 - val_mean_absolute_error: 1.5707 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9827 - mean_absolute_error: 1.9827 - val_loss: 1.5849 - val_mean_absolute_error: 1.5849 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8833 - mean_absolute_error: 1.8833 - val_loss: 1.5868 - val_mean_absolute_error: 1.5868 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9692 - mean_absolute_error: 1.9692 - val_loss: 1.5796 - val_mean_absolute_error: 1.5796 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9593 - mean_absolute_error: 1.9593 - val_loss: 1.5785 - val_mean_absolute_error: 1.5785 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9063 - mean_absolute_error: 1.9063 - val_loss: 1.5727 - val_mean_absolute_error: 1.5727 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9466 - mean_absolute_error: 1.9466 - val_loss: 1.5783 - val_mean_absolute_error: 1.5783 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8927 - mean_absolute_error: 1.8927 - val_loss: 1.5719 - val_mean_absolute_error: 1.5719 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9442 - mean_absolute_error: 1.9442 - val_loss: 1.5675 - val_mean_absolute_error: 1.5675 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9745 - mean_absolute_error: 1.9745 - val_loss: 1.5658 - val_mean_absolute_error: 1.5658 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 2s 17ms/step - loss: 2.9939 - mean_absolute_error: 2.9939 - val_loss: 0.7245 - val_mean_absolute_error: 0.7245 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.7096 - val_mean_absolute_error: 0.7096 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6953 - mean_absolute_error: 0.6953 - val_loss: 0.7082 - val_mean_absolute_error: 0.7082 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7047 - mean_absolute_error: 0.7047 - val_loss: 0.7899 - val_mean_absolute_error: 0.7899 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7339 - mean_absolute_error: 0.7339 - val_loss: 0.7091 - val_mean_absolute_error: 0.7091 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6947 - mean_absolute_error: 0.6947 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6737 - mean_absolute_error: 0.6737 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6686 - mean_absolute_error: 0.6686 - val_loss: 0.6810 - val_mean_absolute_error: 0.6810 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7010 - mean_absolute_error: 0.7010 - val_loss: 0.6598 - val_mean_absolute_error: 0.6598 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.6652 - val_mean_absolute_error: 0.6652 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6747 - mean_absolute_error: 0.6747 - val_loss: 0.7074 - val_mean_absolute_error: 0.7074 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6949 - mean_absolute_error: 0.6949 - val_loss: 0.7320 - val_mean_absolute_error: 0.7320 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.6629 - val_mean_absolute_error: 0.6629 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6802 - mean_absolute_error: 0.6802 - val_loss: 0.6641 - val_mean_absolute_error: 0.6641 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.6606 - val_mean_absolute_error: 0.6606 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6791 - mean_absolute_error: 0.6791 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6927 - mean_absolute_error: 0.6927 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6744 - mean_absolute_error: 0.6744 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6977 - mean_absolute_error: 0.6977 - val_loss: 0.6845 - val_mean_absolute_error: 0.6845 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6955 - mean_absolute_error: 0.6955 - val_loss: 0.7103 - val_mean_absolute_error: 0.7103 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6764 - mean_absolute_error: 0.6764 - val_loss: 0.6600 - val_mean_absolute_error: 0.6600 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6733 - mean_absolute_error: 0.6733 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7022 - mean_absolute_error: 0.7022 - val_loss: 0.7089 - val_mean_absolute_error: 0.7089 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.6644 - val_mean_absolute_error: 0.6644 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6829 - mean_absolute_error: 0.6829 - val_loss: 0.7082 - val_mean_absolute_error: 0.7082 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6872 - mean_absolute_error: 0.6872 - val_loss: 0.7308 - val_mean_absolute_error: 0.7308 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7013 - mean_absolute_error: 0.7013 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.7063 - val_mean_absolute_error: 0.7063 Epoch 29/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6976 - mean_absolute_error: 0.6976 - val_loss: 0.7242 - val_mean_absolute_error: 0.7242 Epoch 30/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6932 - mean_absolute_error: 0.6932 - val_loss: 0.6933 - val_mean_absolute_error: 0.6933 Epoch 31/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7013 - mean_absolute_error: 0.7013 - val_loss: 0.6663 - val_mean_absolute_error: 0.6663 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6821 - mean_absolute_error: 0.6821 - val_loss: 0.6605 - val_mean_absolute_error: 0.6605 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6817 - mean_absolute_error: 0.6817 - val_loss: 0.6975 - val_mean_absolute_error: 0.6975 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6963 - mean_absolute_error: 0.6963 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6897 - mean_absolute_error: 0.6897 - val_loss: 0.7137 - val_mean_absolute_error: 0.7137 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6550 - val_mean_absolute_error: 0.6550 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6752 - mean_absolute_error: 0.6752 - val_loss: 0.6877 - val_mean_absolute_error: 0.6877 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6756 - mean_absolute_error: 0.6756 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6804 - mean_absolute_error: 0.6804 - val_loss: 0.6737 - val_mean_absolute_error: 0.6737 Epoch 41/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6851 - mean_absolute_error: 0.6851 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6722 - mean_absolute_error: 0.6722 - val_loss: 0.6826 - val_mean_absolute_error: 0.6826 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6753 - val_mean_absolute_error: 0.6753 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.6912 - val_mean_absolute_error: 0.6912 Epoch 45/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6780 - mean_absolute_error: 0.6780 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6866 - mean_absolute_error: 0.6866 - val_loss: 0.6595 - val_mean_absolute_error: 0.6595 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6579 - val_mean_absolute_error: 0.6579 Epoch 48/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6822 - mean_absolute_error: 0.6822 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6739 - mean_absolute_error: 0.6739 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6943 - mean_absolute_error: 0.6943 - val_loss: 0.6678 - val_mean_absolute_error: 0.6678 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 2.1597 - mean_absolute_error: 2.1597 - val_loss: 0.7314 - val_mean_absolute_error: 0.7314 Epoch 2/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7010 - mean_absolute_error: 0.7010 - val_loss: 0.6669 - val_mean_absolute_error: 0.6669 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6659 - mean_absolute_error: 0.6659 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6660 - mean_absolute_error: 0.6660 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6585 - val_mean_absolute_error: 0.6585 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6725 - mean_absolute_error: 0.6725 - val_loss: 0.6631 - val_mean_absolute_error: 0.6631 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6690 - mean_absolute_error: 0.6690 - val_loss: 0.6668 - val_mean_absolute_error: 0.6668 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6675 - mean_absolute_error: 0.6675 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6707 - mean_absolute_error: 0.6707 - val_loss: 0.6687 - val_mean_absolute_error: 0.6687 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6685 - mean_absolute_error: 0.6685 - val_loss: 0.6651 - val_mean_absolute_error: 0.6651 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6662 - mean_absolute_error: 0.6662 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6588 - val_mean_absolute_error: 0.6588 Epoch 14/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6589 - val_mean_absolute_error: 0.6589 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6658 - mean_absolute_error: 0.6658 - val_loss: 0.6639 - val_mean_absolute_error: 0.6639 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6571 - val_mean_absolute_error: 0.6571 Epoch 20/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6552 - val_mean_absolute_error: 0.6552 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6578 - val_mean_absolute_error: 0.6578 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6655 - mean_absolute_error: 0.6655 - val_loss: 0.6550 - val_mean_absolute_error: 0.6550 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 29/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 30/50 35/35 [==============================] - 0s 7ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6579 - val_mean_absolute_error: 0.6579 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6687 - mean_absolute_error: 0.6687 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6678 - mean_absolute_error: 0.6678 - val_loss: 0.6686 - val_mean_absolute_error: 0.6686 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6706 - mean_absolute_error: 0.6706 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6659 - mean_absolute_error: 0.6659 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6548 - val_mean_absolute_error: 0.6548 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6525 - val_mean_absolute_error: 0.6525 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6575 - val_mean_absolute_error: 0.6575 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6532 - val_mean_absolute_error: 0.6532 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6535 - val_mean_absolute_error: 0.6535 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 49/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 50/50 35/35 [==============================] - 0s 3ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - ETA: 0s - loss: 5.6262 - mean_absolute_error: 5.626 - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.3267 - mean_absolute_error: 5.3267 - val_loss: 5.1615 - val_mean_absolute_error: 5.1615 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.8506 - mean_absolute_error: 4.8506 - val_loss: 4.5687 - val_mean_absolute_error: 4.5687 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1998 - mean_absolute_error: 4.1998 - val_loss: 3.6761 - val_mean_absolute_error: 3.6761 Epoch 4/50 35/35 [==============================] - ETA: 0s - loss: 3.5877 - mean_absolute_error: 3.587 - 0s 2ms/step - loss: 3.5626 - mean_absolute_error: 3.5626 - val_loss: 2.9248 - val_mean_absolute_error: 2.9248 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2726 - mean_absolute_error: 3.2726 - val_loss: 2.5543 - val_mean_absolute_error: 2.5543 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 3.1275 - mean_absolute_error: 3.1275 - val_loss: 2.5443 - val_mean_absolute_error: 2.5443 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0133 - mean_absolute_error: 3.0133 - val_loss: 2.4345 - val_mean_absolute_error: 2.4345 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9368 - mean_absolute_error: 2.9368 - val_loss: 2.3920 - val_mean_absolute_error: 2.3920 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8497 - mean_absolute_error: 2.8497 - val_loss: 2.3153 - val_mean_absolute_error: 2.3153 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7929 - mean_absolute_error: 2.7929 - val_loss: 2.1898 - val_mean_absolute_error: 2.1898 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6860 - mean_absolute_error: 2.6860 - val_loss: 2.1452 - val_mean_absolute_error: 2.1452 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6297 - mean_absolute_error: 2.6297 - val_loss: 2.0429 - val_mean_absolute_error: 2.0429 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5658 - mean_absolute_error: 2.5658 - val_loss: 1.9748 - val_mean_absolute_error: 1.9748 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4630 - mean_absolute_error: 2.4630 - val_loss: 2.0431 - val_mean_absolute_error: 2.0431 Epoch 15/50 35/35 [==============================] - 0s 3ms/step - loss: 2.5367 - mean_absolute_error: 2.5367 - val_loss: 1.8906 - val_mean_absolute_error: 1.8906 Epoch 16/50 35/35 [==============================] - 0s 3ms/step - loss: 2.3960 - mean_absolute_error: 2.3960 - val_loss: 1.7797 - val_mean_absolute_error: 1.7797 Epoch 17/50 35/35 [==============================] - 0s 3ms/step - loss: 2.3357 - mean_absolute_error: 2.3357 - val_loss: 1.9404 - val_mean_absolute_error: 1.9404 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3908 - mean_absolute_error: 2.3908 - val_loss: 1.8366 - val_mean_absolute_error: 1.8366 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2795 - mean_absolute_error: 2.2795 - val_loss: 1.7352 - val_mean_absolute_error: 1.7352 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1749 - mean_absolute_error: 2.1749 - val_loss: 1.6509 - val_mean_absolute_error: 1.6509 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1695 - mean_absolute_error: 2.1695 - val_loss: 1.6380 - val_mean_absolute_error: 1.6380 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1857 - mean_absolute_error: 2.1857 - val_loss: 1.7247 - val_mean_absolute_error: 1.7247 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1077 - mean_absolute_error: 2.1077 - val_loss: 1.6957 - val_mean_absolute_error: 1.6957 Epoch 24/50 35/35 [==============================] - 0s 3ms/step - loss: 2.0851 - mean_absolute_error: 2.0851 - val_loss: 1.7509 - val_mean_absolute_error: 1.7509 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0736 - mean_absolute_error: 2.0736 - val_loss: 1.6818 - val_mean_absolute_error: 1.6818 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9763 - mean_absolute_error: 1.9763 - val_loss: 1.5806 - val_mean_absolute_error: 1.5806 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0647 - mean_absolute_error: 2.0647 - val_loss: 1.5752 - val_mean_absolute_error: 1.5752 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9389 - mean_absolute_error: 1.9389 - val_loss: 1.6166 - val_mean_absolute_error: 1.6166 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9284 - mean_absolute_error: 1.9284 - val_loss: 1.5195 - val_mean_absolute_error: 1.5195 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9139 - mean_absolute_error: 1.9139 - val_loss: 1.5254 - val_mean_absolute_error: 1.5254 Epoch 31/50 35/35 [==============================] - 0s 3ms/step - loss: 1.9488 - mean_absolute_error: 1.9488 - val_loss: 1.5984 - val_mean_absolute_error: 1.5984 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7566 - mean_absolute_error: 1.7566 - val_loss: 1.4173 - val_mean_absolute_error: 1.4173 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8232 - mean_absolute_error: 1.8232 - val_loss: 1.4376 - val_mean_absolute_error: 1.4376 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7001 - mean_absolute_error: 1.7001 - val_loss: 1.4588 - val_mean_absolute_error: 1.4588 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7743 - mean_absolute_error: 1.7743 - val_loss: 1.4043 - val_mean_absolute_error: 1.4043 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7519 - mean_absolute_error: 1.7519 - val_loss: 1.4320 - val_mean_absolute_error: 1.4320 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 1.6960 - mean_absolute_error: 1.6960 - val_loss: 1.4821 - val_mean_absolute_error: 1.4821 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7057 - mean_absolute_error: 1.7057 - val_loss: 1.4152 - val_mean_absolute_error: 1.4152 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6178 - mean_absolute_error: 1.6178 - val_loss: 1.4295 - val_mean_absolute_error: 1.4295 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6398 - mean_absolute_error: 1.6398 - val_loss: 1.3961 - val_mean_absolute_error: 1.3961 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6061 - mean_absolute_error: 1.6061 - val_loss: 1.3949 - val_mean_absolute_error: 1.3949 Epoch 42/50 35/35 [==============================] - 0s 3ms/step - loss: 1.6205 - mean_absolute_error: 1.6205 - val_loss: 1.3755 - val_mean_absolute_error: 1.3755 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5169 - mean_absolute_error: 1.5169 - val_loss: 1.3962 - val_mean_absolute_error: 1.3962 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5296 - mean_absolute_error: 1.5296 - val_loss: 1.3268 - val_mean_absolute_error: 1.3268 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4493 - mean_absolute_error: 1.4493 - val_loss: 1.3188 - val_mean_absolute_error: 1.3188 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4990 - mean_absolute_error: 1.4990 - val_loss: 1.3147 - val_mean_absolute_error: 1.3147 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4654 - mean_absolute_error: 1.4654 - val_loss: 1.3051 - val_mean_absolute_error: 1.3051 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3781 - mean_absolute_error: 1.3781 - val_loss: 1.3014 - val_mean_absolute_error: 1.3014 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4281 - mean_absolute_error: 1.4281 - val_loss: 1.2642 - val_mean_absolute_error: 1.2642 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3297 - mean_absolute_error: 1.3297 - val_loss: 1.2729 - val_mean_absolute_error: 1.2729 Epoch 1/50 35/35 [==============================] - 2s 8ms/step - loss: 5.6075 - mean_absolute_error: 5.6075 - val_loss: 5.6414 - val_mean_absolute_error: 5.6414 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5772 - mean_absolute_error: 5.5772 - val_loss: 5.6402 - val_mean_absolute_error: 5.6402 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.5278 - mean_absolute_error: 5.5278 - val_loss: 5.6314 - val_mean_absolute_error: 5.6314 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4474 - mean_absolute_error: 5.4474 - val_loss: 5.5804 - val_mean_absolute_error: 5.5804 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1863 - mean_absolute_error: 5.1863 - val_loss: 5.0676 - val_mean_absolute_error: 5.0676 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 4.4024 - mean_absolute_error: 4.4024 - val_loss: 3.7674 - val_mean_absolute_error: 3.7674 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 3.3917 - mean_absolute_error: 3.3917 - val_loss: 2.3995 - val_mean_absolute_error: 2.3995 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 3.2076 - mean_absolute_error: 3.2076 - val_loss: 2.4381 - val_mean_absolute_error: 2.4381 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0906 - mean_absolute_error: 3.0906 - val_loss: 2.2787 - val_mean_absolute_error: 2.2787 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9364 - mean_absolute_error: 2.9364 - val_loss: 2.3797 - val_mean_absolute_error: 2.3797 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8229 - mean_absolute_error: 2.8229 - val_loss: 2.3035 - val_mean_absolute_error: 2.3035 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8820 - mean_absolute_error: 2.8820 - val_loss: 2.3176 - val_mean_absolute_error: 2.3176 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7964 - mean_absolute_error: 2.7964 - val_loss: 2.2284 - val_mean_absolute_error: 2.2284 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8014 - mean_absolute_error: 2.8014 - val_loss: 2.2059 - val_mean_absolute_error: 2.2059 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6813 - mean_absolute_error: 2.6813 - val_loss: 2.2179 - val_mean_absolute_error: 2.2179 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6850 - mean_absolute_error: 2.6850 - val_loss: 2.0959 - val_mean_absolute_error: 2.0959 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 2.5142 - mean_absolute_error: 2.5142 - val_loss: 2.0779 - val_mean_absolute_error: 2.0779 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4537 - mean_absolute_error: 2.4537 - val_loss: 2.0376 - val_mean_absolute_error: 2.0376 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6206 - mean_absolute_error: 2.6206 - val_loss: 2.0901 - val_mean_absolute_error: 2.0901 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4424 - mean_absolute_error: 2.4424 - val_loss: 2.0253 - val_mean_absolute_error: 2.0253 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4475 - mean_absolute_error: 2.4475 - val_loss: 1.9365 - val_mean_absolute_error: 1.9365 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3914 - mean_absolute_error: 2.3914 - val_loss: 1.9013 - val_mean_absolute_error: 1.9013 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3412 - mean_absolute_error: 2.3412 - val_loss: 1.8018 - val_mean_absolute_error: 1.8018 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2097 - mean_absolute_error: 2.2097 - val_loss: 1.7670 - val_mean_absolute_error: 1.7670 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2915 - mean_absolute_error: 2.2915 - val_loss: 1.7716 - val_mean_absolute_error: 1.7716 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2603 - mean_absolute_error: 2.2603 - val_loss: 1.7744 - val_mean_absolute_error: 1.7744 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1261 - mean_absolute_error: 2.1261 - val_loss: 1.7288 - val_mean_absolute_error: 1.7288 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 2.1029 - mean_absolute_error: 2.1029 - val_loss: 1.7072 - val_mean_absolute_error: 1.7072 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9148 - mean_absolute_error: 1.9148 - val_loss: 1.7224 - val_mean_absolute_error: 1.7224 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9873 - mean_absolute_error: 1.9873 - val_loss: 1.6688 - val_mean_absolute_error: 1.6688 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0025 - mean_absolute_error: 2.0025 - val_loss: 1.6511 - val_mean_absolute_error: 1.6511 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9870 - mean_absolute_error: 1.9870 - val_loss: 1.6222 - val_mean_absolute_error: 1.6222 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8633 - mean_absolute_error: 1.8633 - val_loss: 1.6359 - val_mean_absolute_error: 1.6359 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8092 - mean_absolute_error: 1.8092 - val_loss: 1.6191 - val_mean_absolute_error: 1.6191 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8702 - mean_absolute_error: 1.8702 - val_loss: 1.6301 - val_mean_absolute_error: 1.6301 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8513 - mean_absolute_error: 1.8513 - val_loss: 1.5207 - val_mean_absolute_error: 1.5207 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7221 - mean_absolute_error: 1.7221 - val_loss: 1.5438 - val_mean_absolute_error: 1.5438 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8171 - mean_absolute_error: 1.8171 - val_loss: 1.5012 - val_mean_absolute_error: 1.5012 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7782 - mean_absolute_error: 1.7782 - val_loss: 1.4948 - val_mean_absolute_error: 1.4948 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7890 - mean_absolute_error: 1.7890 - val_loss: 1.5076 - val_mean_absolute_error: 1.5076 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7494 - mean_absolute_error: 1.7494 - val_loss: 1.4869 - val_mean_absolute_error: 1.4869 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6420 - mean_absolute_error: 1.6420 - val_loss: 1.4348 - val_mean_absolute_error: 1.4348 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7707 - mean_absolute_error: 1.7707 - val_loss: 1.4237 - val_mean_absolute_error: 1.4237 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6244 - mean_absolute_error: 1.6244 - val_loss: 1.3822 - val_mean_absolute_error: 1.3822 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6285 - mean_absolute_error: 1.6285 - val_loss: 1.3851 - val_mean_absolute_error: 1.3851 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6790 - mean_absolute_error: 1.6790 - val_loss: 1.3979 - val_mean_absolute_error: 1.3979 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6683 - mean_absolute_error: 1.6683 - val_loss: 1.3616 - val_mean_absolute_error: 1.3616 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6316 - mean_absolute_error: 1.6316 - val_loss: 1.2982 - val_mean_absolute_error: 1.2982 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5537 - mean_absolute_error: 1.5537 - val_loss: 1.3434 - val_mean_absolute_error: 1.3434 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5848 - mean_absolute_error: 1.5848 - val_loss: 1.3160 - val_mean_absolute_error: 1.3160 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 5.1272 - mean_absolute_error: 5.1272 - val_loss: 5.1664 - val_mean_absolute_error: 5.1664 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1152 - mean_absolute_error: 5.1152 - val_loss: 5.1572 - val_mean_absolute_error: 5.1572 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1089 - mean_absolute_error: 5.1089 - val_loss: 5.1517 - val_mean_absolute_error: 5.1517 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0944 - mean_absolute_error: 5.0944 - val_loss: 5.1477 - val_mean_absolute_error: 5.1477 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1148 - mean_absolute_error: 5.1148 - val_loss: 5.1447 - val_mean_absolute_error: 5.1447 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0762 - mean_absolute_error: 5.0762 - val_loss: 5.1421 - val_mean_absolute_error: 5.1421 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0946 - mean_absolute_error: 5.0946 - val_loss: 5.1399 - val_mean_absolute_error: 5.1399 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1076 - mean_absolute_error: 5.1076 - val_loss: 5.1381 - val_mean_absolute_error: 5.1381 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1056 - mean_absolute_error: 5.1056 - val_loss: 5.1365 - val_mean_absolute_error: 5.1365 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0862 - mean_absolute_error: 5.0862 - val_loss: 5.1350 - val_mean_absolute_error: 5.1350 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0584 - mean_absolute_error: 5.0584 - val_loss: 5.1336 - val_mean_absolute_error: 5.1336 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1016 - mean_absolute_error: 5.1016 - val_loss: 5.1324 - val_mean_absolute_error: 5.1324 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0690 - mean_absolute_error: 5.0690 - val_loss: 5.1313 - val_mean_absolute_error: 5.1313 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0651 - mean_absolute_error: 5.0651 - val_loss: 5.1302 - val_mean_absolute_error: 5.1302 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0704 - mean_absolute_error: 5.0704 - val_loss: 5.1292 - val_mean_absolute_error: 5.1292 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.1017 - mean_absolute_error: 5.1017 - val_loss: 5.1283 - val_mean_absolute_error: 5.1283 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0585 - mean_absolute_error: 5.0585 - val_loss: 5.1275 - val_mean_absolute_error: 5.1275 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0888 - mean_absolute_error: 5.0888 - val_loss: 5.1267 - val_mean_absolute_error: 5.1267 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0676 - mean_absolute_error: 5.0676 - val_loss: 5.1259 - val_mean_absolute_error: 5.1259 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0678 - mean_absolute_error: 5.0678 - val_loss: 5.1252 - val_mean_absolute_error: 5.1252 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0972 - mean_absolute_error: 5.0972 - val_loss: 5.1245 - val_mean_absolute_error: 5.1245 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0650 - mean_absolute_error: 5.0650 - val_loss: 5.1238 - val_mean_absolute_error: 5.1238 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0681 - mean_absolute_error: 5.0681 - val_loss: 5.1232 - val_mean_absolute_error: 5.1232 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0763 - mean_absolute_error: 5.0763 - val_loss: 5.1226 - val_mean_absolute_error: 5.1226 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0454 - mean_absolute_error: 5.0454 - val_loss: 5.1220 - val_mean_absolute_error: 5.1220 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0631 - mean_absolute_error: 5.0631 - val_loss: 5.1215 - val_mean_absolute_error: 5.1215 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0812 - mean_absolute_error: 5.0812 - val_loss: 5.1210 - val_mean_absolute_error: 5.1210 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0465 - mean_absolute_error: 5.0465 - val_loss: 5.1204 - val_mean_absolute_error: 5.1204 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0772 - mean_absolute_error: 5.0772 - val_loss: 5.1200 - val_mean_absolute_error: 5.1200 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0619 - mean_absolute_error: 5.0619 - val_loss: 5.1195 - val_mean_absolute_error: 5.1195 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0509 - mean_absolute_error: 5.0509 - val_loss: 5.1190 - val_mean_absolute_error: 5.1190 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0927 - mean_absolute_error: 5.0927 - val_loss: 5.1186 - val_mean_absolute_error: 5.1186 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0604 - mean_absolute_error: 5.0604 - val_loss: 5.1181 - val_mean_absolute_error: 5.1181 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0837 - mean_absolute_error: 5.0837 - val_loss: 5.1177 - val_mean_absolute_error: 5.1177 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0793 - mean_absolute_error: 5.0793 - val_loss: 5.1173 - val_mean_absolute_error: 5.1173 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0820 - mean_absolute_error: 5.0820 - val_loss: 5.1169 - val_mean_absolute_error: 5.1169 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0859 - mean_absolute_error: 5.0859 - val_loss: 5.1165 - val_mean_absolute_error: 5.1165 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0819 - mean_absolute_error: 5.0819 - val_loss: 5.1162 - val_mean_absolute_error: 5.1162 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0764 - mean_absolute_error: 5.0764 - val_loss: 5.1158 - val_mean_absolute_error: 5.1158 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0532 - mean_absolute_error: 5.0532 - val_loss: 5.1155 - val_mean_absolute_error: 5.1155 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0677 - mean_absolute_error: 5.0677 - val_loss: 5.1151 - val_mean_absolute_error: 5.1151 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0552 - mean_absolute_error: 5.0552 - val_loss: 5.1148 - val_mean_absolute_error: 5.1148 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0390 - mean_absolute_error: 5.0390 - val_loss: 5.1144 - val_mean_absolute_error: 5.1144 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0700 - mean_absolute_error: 5.0700 - val_loss: 5.1141 - val_mean_absolute_error: 5.1141 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0484 - mean_absolute_error: 5.0484 - val_loss: 5.1138 - val_mean_absolute_error: 5.1138 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0460 - mean_absolute_error: 5.0460 - val_loss: 5.1135 - val_mean_absolute_error: 5.1135 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0672 - mean_absolute_error: 5.0672 - val_loss: 5.1132 - val_mean_absolute_error: 5.1132 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0662 - mean_absolute_error: 5.0662 - val_loss: 5.1129 - val_mean_absolute_error: 5.1129 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0620 - mean_absolute_error: 5.0620 - val_loss: 5.1126 - val_mean_absolute_error: 5.1126 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.0561 - mean_absolute_error: 5.0561 - val_loss: 5.1123 - val_mean_absolute_error: 5.1123 Epoch 1/50 35/35 [==============================] - 1s 16ms/step - loss: 4.1462 - mean_absolute_error: 4.1462 - val_loss: 2.3819 - val_mean_absolute_error: 2.3819 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.9203 - mean_absolute_error: 2.9203 - val_loss: 1.6065 - val_mean_absolute_error: 1.6065 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2976 - mean_absolute_error: 2.2976 - val_loss: 1.3047 - val_mean_absolute_error: 1.3047 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9075 - mean_absolute_error: 1.9075 - val_loss: 1.3628 - val_mean_absolute_error: 1.3628 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7582 - mean_absolute_error: 1.7582 - val_loss: 1.1725 - val_mean_absolute_error: 1.1725 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6261 - mean_absolute_error: 1.6261 - val_loss: 1.2332 - val_mean_absolute_error: 1.2332 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5045 - mean_absolute_error: 1.5045 - val_loss: 1.1271 - val_mean_absolute_error: 1.1271 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4416 - mean_absolute_error: 1.4416 - val_loss: 1.1053 - val_mean_absolute_error: 1.1053 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4538 - mean_absolute_error: 1.4538 - val_loss: 0.9997 - val_mean_absolute_error: 0.9997 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4039 - mean_absolute_error: 1.4039 - val_loss: 1.0230 - val_mean_absolute_error: 1.0230 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3485 - mean_absolute_error: 1.3485 - val_loss: 0.8908 - val_mean_absolute_error: 0.8908 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3296 - mean_absolute_error: 1.3296 - val_loss: 0.8966 - val_mean_absolute_error: 0.8966 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2528 - mean_absolute_error: 1.2528 - val_loss: 0.8395 - val_mean_absolute_error: 0.8395 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2304 - mean_absolute_error: 1.2304 - val_loss: 0.8240 - val_mean_absolute_error: 0.8240 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1549 - mean_absolute_error: 1.1549 - val_loss: 0.8004 - val_mean_absolute_error: 0.8004 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.1998 - mean_absolute_error: 1.1998 - val_loss: 0.8754 - val_mean_absolute_error: 0.8754 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2160 - mean_absolute_error: 1.2160 - val_loss: 0.8085 - val_mean_absolute_error: 0.8085 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2167 - mean_absolute_error: 1.2167 - val_loss: 0.7194 - val_mean_absolute_error: 0.7194 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0779 - mean_absolute_error: 1.0779 - val_loss: 0.7378 - val_mean_absolute_error: 0.7378 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0830 - mean_absolute_error: 1.0830 - val_loss: 0.7468 - val_mean_absolute_error: 0.7468 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0885 - mean_absolute_error: 1.0885 - val_loss: 0.6664 - val_mean_absolute_error: 0.6664 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0215 - mean_absolute_error: 1.0215 - val_loss: 0.7271 - val_mean_absolute_error: 0.7271 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0204 - mean_absolute_error: 1.0204 - val_loss: 0.6480 - val_mean_absolute_error: 0.6480 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0268 - mean_absolute_error: 1.0268 - val_loss: 0.7065 - val_mean_absolute_error: 0.7065 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0449 - mean_absolute_error: 1.0449 - val_loss: 0.6150 - val_mean_absolute_error: 0.6150 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9556 - mean_absolute_error: 0.9556 - val_loss: 0.6322 - val_mean_absolute_error: 0.6322 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9579 - mean_absolute_error: 0.9579 - val_loss: 0.6339 - val_mean_absolute_error: 0.6339 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 0.9581 - mean_absolute_error: 0.9581 - val_loss: 0.6490 - val_mean_absolute_error: 0.6490 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9460 - mean_absolute_error: 0.9460 - val_loss: 0.6572 - val_mean_absolute_error: 0.6572 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8931 - mean_absolute_error: 0.8931 - val_loss: 0.6032 - val_mean_absolute_error: 0.6032 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8901 - mean_absolute_error: 0.8901 - val_loss: 0.6024 - val_mean_absolute_error: 0.6024 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8627 - mean_absolute_error: 0.8627 - val_loss: 0.5944 - val_mean_absolute_error: 0.5944 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8637 - mean_absolute_error: 0.8637 - val_loss: 0.5923 - val_mean_absolute_error: 0.5923 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8320 - mean_absolute_error: 0.8320 - val_loss: 0.5966 - val_mean_absolute_error: 0.5966 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8141 - mean_absolute_error: 0.8141 - val_loss: 0.5873 - val_mean_absolute_error: 0.5873 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7693 - mean_absolute_error: 0.7693 - val_loss: 0.5981 - val_mean_absolute_error: 0.5981 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7945 - mean_absolute_error: 0.7945 - val_loss: 0.6065 - val_mean_absolute_error: 0.6065 Epoch 38/50 35/35 [==============================] - 0s 3ms/step - loss: 0.7664 - mean_absolute_error: 0.7664 - val_loss: 0.5918 - val_mean_absolute_error: 0.5918 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7651 - mean_absolute_error: 0.7651 - val_loss: 0.5829 - val_mean_absolute_error: 0.5829 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7354 - mean_absolute_error: 0.7354 - val_loss: 0.6040 - val_mean_absolute_error: 0.6040 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6877 - mean_absolute_error: 0.6877 - val_loss: 0.5919 - val_mean_absolute_error: 0.5919 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6875 - mean_absolute_error: 0.6875 - val_loss: 0.5983 - val_mean_absolute_error: 0.5983 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6918 - mean_absolute_error: 0.6918 - val_loss: 0.5909 - val_mean_absolute_error: 0.5909 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6852 - mean_absolute_error: 0.6852 - val_loss: 0.5828 - val_mean_absolute_error: 0.5828 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6424 - mean_absolute_error: 0.6424 - val_loss: 0.5839 - val_mean_absolute_error: 0.5839 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6247 - mean_absolute_error: 0.6247 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6562 - mean_absolute_error: 0.6562 - val_loss: 0.5907 - val_mean_absolute_error: 0.5907 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6349 - mean_absolute_error: 0.6349 - val_loss: 0.5845 - val_mean_absolute_error: 0.5845 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6138 - mean_absolute_error: 0.6138 - val_loss: 0.5793 - val_mean_absolute_error: 0.5793 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6142 - mean_absolute_error: 0.6142 - val_loss: 0.5688 - val_mean_absolute_error: 0.5688 Epoch 1/50 35/35 [==============================] - 1s 8ms/step - loss: 3.8267 - mean_absolute_error: 3.8267 - val_loss: 2.1993 - val_mean_absolute_error: 2.1993 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 2.7894 - mean_absolute_error: 2.7894 - val_loss: 1.8574 - val_mean_absolute_error: 1.8574 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6136 - mean_absolute_error: 2.6136 - val_loss: 1.6499 - val_mean_absolute_error: 1.6499 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3463 - mean_absolute_error: 2.3463 - val_loss: 1.5911 - val_mean_absolute_error: 1.5911 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0606 - mean_absolute_error: 2.0606 - val_loss: 1.5737 - val_mean_absolute_error: 1.5737 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0012 - mean_absolute_error: 2.0012 - val_loss: 1.2950 - val_mean_absolute_error: 1.2950 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8485 - mean_absolute_error: 1.8485 - val_loss: 1.2962 - val_mean_absolute_error: 1.2962 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8248 - mean_absolute_error: 1.8248 - val_loss: 1.3423 - val_mean_absolute_error: 1.3423 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6739 - mean_absolute_error: 1.6739 - val_loss: 1.1901 - val_mean_absolute_error: 1.1901 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6435 - mean_absolute_error: 1.6435 - val_loss: 1.2414 - val_mean_absolute_error: 1.2414 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4772 - mean_absolute_error: 1.4772 - val_loss: 1.1283 - val_mean_absolute_error: 1.1283 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4297 - mean_absolute_error: 1.4297 - val_loss: 1.0700 - val_mean_absolute_error: 1.0700 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4704 - mean_absolute_error: 1.4704 - val_loss: 1.0842 - val_mean_absolute_error: 1.0842 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3128 - mean_absolute_error: 1.3128 - val_loss: 1.1341 - val_mean_absolute_error: 1.1341 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3136 - mean_absolute_error: 1.3136 - val_loss: 1.0537 - val_mean_absolute_error: 1.0537 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2358 - mean_absolute_error: 1.2358 - val_loss: 0.8769 - val_mean_absolute_error: 0.8769 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3134 - mean_absolute_error: 1.3134 - val_loss: 0.8762 - val_mean_absolute_error: 0.8762 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2540 - mean_absolute_error: 1.2540 - val_loss: 0.8682 - val_mean_absolute_error: 0.8682 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.2352 - mean_absolute_error: 1.2352 - val_loss: 0.8163 - val_mean_absolute_error: 0.8163 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0915 - mean_absolute_error: 1.0915 - val_loss: 0.7906 - val_mean_absolute_error: 0.7906 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0512 - mean_absolute_error: 1.0512 - val_loss: 0.8635 - val_mean_absolute_error: 0.8635 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0645 - mean_absolute_error: 1.0645 - val_loss: 0.8195 - val_mean_absolute_error: 0.8195 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0376 - mean_absolute_error: 1.0376 - val_loss: 0.8160 - val_mean_absolute_error: 0.8160 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0445 - mean_absolute_error: 1.0445 - val_loss: 0.8433 - val_mean_absolute_error: 0.8433 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 1.0621 - mean_absolute_error: 1.0621 - val_loss: 0.8286 - val_mean_absolute_error: 0.8286 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9665 - mean_absolute_error: 0.9665 - val_loss: 0.8059 - val_mean_absolute_error: 0.8059 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9370 - mean_absolute_error: 0.9370 - val_loss: 0.8110 - val_mean_absolute_error: 0.8110 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9645 - mean_absolute_error: 0.9645 - val_loss: 0.7987 - val_mean_absolute_error: 0.7987 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9683 - mean_absolute_error: 0.9683 - val_loss: 0.7954 - val_mean_absolute_error: 0.7954 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 0.9051 - mean_absolute_error: 0.9051 - val_loss: 0.7727 - val_mean_absolute_error: 0.7727 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8772 - mean_absolute_error: 0.8772 - val_loss: 0.7742 - val_mean_absolute_error: 0.7742 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8766 - mean_absolute_error: 0.8766 - val_loss: 0.7551 - val_mean_absolute_error: 0.7551 Epoch 33/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8738 - mean_absolute_error: 0.8738 - val_loss: 0.7326 - val_mean_absolute_error: 0.7326 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8495 - mean_absolute_error: 0.8495 - val_loss: 0.7207 - val_mean_absolute_error: 0.7207 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8411 - mean_absolute_error: 0.8411 - val_loss: 0.7128 - val_mean_absolute_error: 0.7128 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8492 - mean_absolute_error: 0.8492 - val_loss: 0.7216 - val_mean_absolute_error: 0.7216 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8253 - mean_absolute_error: 0.8253 - val_loss: 0.7115 - val_mean_absolute_error: 0.7115 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8101 - mean_absolute_error: 0.8101 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 0.8412 - mean_absolute_error: 0.8412 - val_loss: 0.6830 - val_mean_absolute_error: 0.6830 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7811 - mean_absolute_error: 0.7811 - val_loss: 0.6704 - val_mean_absolute_error: 0.6704 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7653 - mean_absolute_error: 0.7653 - val_loss: 0.6730 - val_mean_absolute_error: 0.6730 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7110 - mean_absolute_error: 0.7110 - val_loss: 0.6423 - val_mean_absolute_error: 0.6423 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7447 - mean_absolute_error: 0.7447 - val_loss: 0.6543 - val_mean_absolute_error: 0.6543 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7306 - mean_absolute_error: 0.7306 - val_loss: 0.6280 - val_mean_absolute_error: 0.6280 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7246 - mean_absolute_error: 0.7246 - val_loss: 0.6404 - val_mean_absolute_error: 0.6404 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 0.7024 - mean_absolute_error: 0.7024 - val_loss: 0.6236 - val_mean_absolute_error: 0.6236 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6926 - mean_absolute_error: 0.6926 - val_loss: 0.6337 - val_mean_absolute_error: 0.6337 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6820 - mean_absolute_error: 0.6820 - val_loss: 0.5968 - val_mean_absolute_error: 0.5968 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6669 - mean_absolute_error: 0.6669 - val_loss: 0.6125 - val_mean_absolute_error: 0.6125 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 0.6450 - mean_absolute_error: 0.6450 - val_loss: 0.6072 - val_mean_absolute_error: 0.6072 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.4280 - mean_absolute_error: 5.4280 - val_loss: 5.0368 - val_mean_absolute_error: 5.0368 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 4.1286 - mean_absolute_error: 4.1286 - val_loss: 2.6227 - val_mean_absolute_error: 2.6227 Epoch 3/50 35/35 [==============================] - 0s 2ms/step - loss: 3.0817 - mean_absolute_error: 3.0817 - val_loss: 2.3051 - val_mean_absolute_error: 2.3051 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 2.8019 - mean_absolute_error: 2.8019 - val_loss: 2.2041 - val_mean_absolute_error: 2.2041 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 2.6119 - mean_absolute_error: 2.6119 - val_loss: 2.1161 - val_mean_absolute_error: 2.1161 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 2.4417 - mean_absolute_error: 2.4417 - val_loss: 2.1063 - val_mean_absolute_error: 2.1063 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 2.3296 - mean_absolute_error: 2.3296 - val_loss: 1.9712 - val_mean_absolute_error: 1.9712 Epoch 8/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2385 - mean_absolute_error: 2.2385 - val_loss: 1.8797 - val_mean_absolute_error: 1.8797 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 2.2409 - mean_absolute_error: 2.2409 - val_loss: 1.7686 - val_mean_absolute_error: 1.7686 Epoch 10/50 35/35 [==============================] - 0s 3ms/step - loss: 2.1486 - mean_absolute_error: 2.1486 - val_loss: 1.7663 - val_mean_absolute_error: 1.7663 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 2.0237 - mean_absolute_error: 2.0237 - val_loss: 1.6800 - val_mean_absolute_error: 1.6800 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9051 - mean_absolute_error: 1.9051 - val_loss: 1.7275 - val_mean_absolute_error: 1.7275 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 1.8594 - mean_absolute_error: 1.8594 - val_loss: 1.7858 - val_mean_absolute_error: 1.7858 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 1.9662 - mean_absolute_error: 1.9662 - val_loss: 1.7003 - val_mean_absolute_error: 1.7003 Epoch 15/50 35/35 [==============================] - 0s 3ms/step - loss: 1.8317 - mean_absolute_error: 1.8317 - val_loss: 1.6770 - val_mean_absolute_error: 1.6770 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7323 - mean_absolute_error: 1.7323 - val_loss: 1.6701 - val_mean_absolute_error: 1.6701 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7359 - mean_absolute_error: 1.7359 - val_loss: 1.6616 - val_mean_absolute_error: 1.6616 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6907 - mean_absolute_error: 1.6907 - val_loss: 1.6332 - val_mean_absolute_error: 1.6332 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 1.7165 - mean_absolute_error: 1.7165 - val_loss: 1.6352 - val_mean_absolute_error: 1.6352 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6310 - mean_absolute_error: 1.6310 - val_loss: 1.6816 - val_mean_absolute_error: 1.6816 Epoch 21/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6724 - mean_absolute_error: 1.6724 - val_loss: 1.5774 - val_mean_absolute_error: 1.5774 Epoch 22/50 35/35 [==============================] - 0s 3ms/step - loss: 1.6387 - mean_absolute_error: 1.6387 - val_loss: 1.6605 - val_mean_absolute_error: 1.6605 Epoch 23/50 35/35 [==============================] - 0s 3ms/step - loss: 1.6498 - mean_absolute_error: 1.6498 - val_loss: 1.6258 - val_mean_absolute_error: 1.6258 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 1.6436 - mean_absolute_error: 1.6436 - val_loss: 1.6273 - val_mean_absolute_error: 1.6273 Epoch 25/50 35/35 [==============================] - 0s 3ms/step - loss: 1.5681 - mean_absolute_error: 1.5681 - val_loss: 1.6093 - val_mean_absolute_error: 1.6093 Epoch 26/50 35/35 [==============================] - 0s 3ms/step - loss: 1.5640 - mean_absolute_error: 1.5640 - val_loss: 1.5901 - val_mean_absolute_error: 1.5901 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5620 - mean_absolute_error: 1.5620 - val_loss: 1.6108 - val_mean_absolute_error: 1.6108 Epoch 28/50 35/35 [==============================] - 0s 3ms/step - loss: 1.5052 - mean_absolute_error: 1.5052 - val_loss: 1.5873 - val_mean_absolute_error: 1.5873 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4999 - mean_absolute_error: 1.4999 - val_loss: 1.5764 - val_mean_absolute_error: 1.5764 Epoch 30/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4636 - mean_absolute_error: 1.4636 - val_loss: 1.5809 - val_mean_absolute_error: 1.5809 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5002 - mean_absolute_error: 1.5002 - val_loss: 1.6076 - val_mean_absolute_error: 1.6076 Epoch 32/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4917 - mean_absolute_error: 1.4917 - val_loss: 1.5532 - val_mean_absolute_error: 1.5532 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 1.5239 - mean_absolute_error: 1.5239 - val_loss: 1.5209 - val_mean_absolute_error: 1.5209 Epoch 34/50 35/35 [==============================] - 0s 3ms/step - loss: 1.4835 - mean_absolute_error: 1.4835 - val_loss: 1.5383 - val_mean_absolute_error: 1.5383 Epoch 35/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4485 - mean_absolute_error: 1.4485 - val_loss: 1.5092 - val_mean_absolute_error: 1.5092 Epoch 36/50 35/35 [==============================] - 0s 3ms/step - loss: 1.4846 - mean_absolute_error: 1.4846 - val_loss: 1.5231 - val_mean_absolute_error: 1.5231 Epoch 37/50 35/35 [==============================] - 0s 2ms/step - loss: 1.5666 - mean_absolute_error: 1.5666 - val_loss: 1.4554 - val_mean_absolute_error: 1.4554 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4849 - mean_absolute_error: 1.4849 - val_loss: 1.4486 - val_mean_absolute_error: 1.4486 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4267 - mean_absolute_error: 1.4267 - val_loss: 1.4714 - val_mean_absolute_error: 1.4714 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4478 - mean_absolute_error: 1.4478 - val_loss: 1.4050 - val_mean_absolute_error: 1.4050 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3747 - mean_absolute_error: 1.3747 - val_loss: 1.4015 - val_mean_absolute_error: 1.4015 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4100 - mean_absolute_error: 1.4100 - val_loss: 1.4084 - val_mean_absolute_error: 1.4084 Epoch 43/50 35/35 [==============================] - 0s 3ms/step - loss: 1.4370 - mean_absolute_error: 1.4370 - val_loss: 1.3822 - val_mean_absolute_error: 1.3822 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4534 - mean_absolute_error: 1.4534 - val_loss: 1.3898 - val_mean_absolute_error: 1.3898 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4190 - mean_absolute_error: 1.4190 - val_loss: 1.3787 - val_mean_absolute_error: 1.3787 Epoch 46/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4883 - mean_absolute_error: 1.4883 - val_loss: 1.3573 - val_mean_absolute_error: 1.3573 Epoch 47/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3380 - mean_absolute_error: 1.3380 - val_loss: 1.3405 - val_mean_absolute_error: 1.3405 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 1.3700 - mean_absolute_error: 1.3700 - val_loss: 1.3120 - val_mean_absolute_error: 1.3120 Epoch 49/50 35/35 [==============================] - ETA: 0s - loss: 1.4393 - mean_absolute_error: 1.439 - 0s 2ms/step - loss: 1.4404 - mean_absolute_error: 1.4404 - val_loss: 1.3002 - val_mean_absolute_error: 1.3002 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 1.4363 - mean_absolute_error: 1.4363 - val_loss: 1.3030 - val_mean_absolute_error: 1.3030 Epoch 1/50 35/35 [==============================] - 1s 9ms/step - loss: 5.5382 - mean_absolute_error: 5.5382 - val_loss: 5.5768 - val_mean_absolute_error: 5.5768 Epoch 2/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4873 - mean_absolute_error: 5.4873 - val_loss: 5.5576 - val_mean_absolute_error: 5.5576 Epoch 3/50 35/35 [==============================] - 0s 3ms/step - loss: 5.4783 - mean_absolute_error: 5.4783 - val_loss: 5.5447 - val_mean_absolute_error: 5.5447 Epoch 4/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4720 - mean_absolute_error: 5.4720 - val_loss: 5.5351 - val_mean_absolute_error: 5.5351 Epoch 5/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4561 - mean_absolute_error: 5.4561 - val_loss: 5.5271 - val_mean_absolute_error: 5.5271 Epoch 6/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4520 - mean_absolute_error: 5.4520 - val_loss: 5.5206 - val_mean_absolute_error: 5.5206 Epoch 7/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4487 - mean_absolute_error: 5.4487 - val_loss: 5.5148 - val_mean_absolute_error: 5.5148 Epoch 8/50 35/35 [==============================] - ETA: 0s - loss: 5.3720 - mean_absolute_error: 5.372 - 0s 2ms/step - loss: 5.4445 - mean_absolute_error: 5.4445 - val_loss: 5.5095 - val_mean_absolute_error: 5.5095 Epoch 9/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4304 - mean_absolute_error: 5.4304 - val_loss: 5.5050 - val_mean_absolute_error: 5.5050 Epoch 10/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4419 - mean_absolute_error: 5.4419 - val_loss: 5.5009 - val_mean_absolute_error: 5.5009 Epoch 11/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4078 - mean_absolute_error: 5.4078 - val_loss: 5.4971 - val_mean_absolute_error: 5.4971 Epoch 12/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4145 - mean_absolute_error: 5.4145 - val_loss: 5.4935 - val_mean_absolute_error: 5.4935 Epoch 13/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4178 - mean_absolute_error: 5.4178 - val_loss: 5.4904 - val_mean_absolute_error: 5.4904 Epoch 14/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4202 - mean_absolute_error: 5.4202 - val_loss: 5.4874 - val_mean_absolute_error: 5.4874 Epoch 15/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4176 - mean_absolute_error: 5.4176 - val_loss: 5.4845 - val_mean_absolute_error: 5.4845 Epoch 16/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4273 - mean_absolute_error: 5.4273 - val_loss: 5.4819 - val_mean_absolute_error: 5.4819 Epoch 17/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3874 - mean_absolute_error: 5.3874 - val_loss: 5.4792 - val_mean_absolute_error: 5.4792 Epoch 18/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4087 - mean_absolute_error: 5.4087 - val_loss: 5.4768 - val_mean_absolute_error: 5.4768 Epoch 19/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4078 - mean_absolute_error: 5.4078 - val_loss: 5.4745 - val_mean_absolute_error: 5.4745 Epoch 20/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3852 - mean_absolute_error: 5.3852 - val_loss: 5.4723 - val_mean_absolute_error: 5.4723 Epoch 21/50 35/35 [==============================] - 0s 3ms/step - loss: 5.4006 - mean_absolute_error: 5.4006 - val_loss: 5.4702 - val_mean_absolute_error: 5.4702 Epoch 22/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4027 - mean_absolute_error: 5.4027 - val_loss: 5.4682 - val_mean_absolute_error: 5.4682 Epoch 23/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3989 - mean_absolute_error: 5.3989 - val_loss: 5.4662 - val_mean_absolute_error: 5.4662 Epoch 24/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3816 - mean_absolute_error: 5.3816 - val_loss: 5.4643 - val_mean_absolute_error: 5.4643 Epoch 25/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4047 - mean_absolute_error: 5.4047 - val_loss: 5.4626 - val_mean_absolute_error: 5.4626 Epoch 26/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3808 - mean_absolute_error: 5.3808 - val_loss: 5.4607 - val_mean_absolute_error: 5.4607 Epoch 27/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3889 - mean_absolute_error: 5.3889 - val_loss: 5.4591 - val_mean_absolute_error: 5.4591 Epoch 28/50 35/35 [==============================] - 0s 2ms/step - loss: 5.4061 - mean_absolute_error: 5.4061 - val_loss: 5.4575 - val_mean_absolute_error: 5.4575 Epoch 29/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3925 - mean_absolute_error: 5.3925 - val_loss: 5.4559 - val_mean_absolute_error: 5.4559 Epoch 30/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3816 - mean_absolute_error: 5.3816 - val_loss: 5.4543 - val_mean_absolute_error: 5.4543 Epoch 31/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3794 - mean_absolute_error: 5.3794 - val_loss: 5.4528 - val_mean_absolute_error: 5.4528 Epoch 32/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3812 - mean_absolute_error: 5.3812 - val_loss: 5.4513 - val_mean_absolute_error: 5.4513 Epoch 33/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3551 - mean_absolute_error: 5.3551 - val_loss: 5.4498 - val_mean_absolute_error: 5.4498 Epoch 34/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3675 - mean_absolute_error: 5.3675 - val_loss: 5.4484 - val_mean_absolute_error: 5.4484 Epoch 35/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3781 - mean_absolute_error: 5.3781 - val_loss: 5.4470 - val_mean_absolute_error: 5.4470 Epoch 36/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3980 - mean_absolute_error: 5.3980 - val_loss: 5.4457 - val_mean_absolute_error: 5.4457 Epoch 37/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3737 - mean_absolute_error: 5.3737 - val_loss: 5.4445 - val_mean_absolute_error: 5.4445 Epoch 38/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3787 - mean_absolute_error: 5.3787 - val_loss: 5.4432 - val_mean_absolute_error: 5.4432 Epoch 39/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3761 - mean_absolute_error: 5.3761 - val_loss: 5.4420 - val_mean_absolute_error: 5.4420 Epoch 40/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3739 - mean_absolute_error: 5.3739 - val_loss: 5.4409 - val_mean_absolute_error: 5.4409 Epoch 41/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3700 - mean_absolute_error: 5.3700 - val_loss: 5.4397 - val_mean_absolute_error: 5.4397 Epoch 42/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3843 - mean_absolute_error: 5.3843 - val_loss: 5.4386 - val_mean_absolute_error: 5.4386 Epoch 43/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3628 - mean_absolute_error: 5.3628 - val_loss: 5.4375 - val_mean_absolute_error: 5.4375 Epoch 44/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3632 - mean_absolute_error: 5.3632 - val_loss: 5.4363 - val_mean_absolute_error: 5.4363 Epoch 45/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3851 - mean_absolute_error: 5.3851 - val_loss: 5.4353 - val_mean_absolute_error: 5.4353 Epoch 46/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3682 - mean_absolute_error: 5.3682 - val_loss: 5.4342 - val_mean_absolute_error: 5.4342 Epoch 47/50 35/35 [==============================] - 0s 3ms/step - loss: 5.3596 - mean_absolute_error: 5.3596 - val_loss: 5.4332 - val_mean_absolute_error: 5.4332 Epoch 48/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3451 - mean_absolute_error: 5.3451 - val_loss: 5.4321 - val_mean_absolute_error: 5.4321 Epoch 49/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3541 - mean_absolute_error: 5.3541 - val_loss: 5.4310 - val_mean_absolute_error: 5.4310 Epoch 50/50 35/35 [==============================] - 0s 2ms/step - loss: 5.3658 - mean_absolute_error: 5.3658 - val_loss: 5.4300 - val_mean_absolute_error: 5.4300
data7['Status'] = data7.apply(lambda x:good_model(x['Training Loss'],x['Test Loss']),axis=1)
data7.to_excel('Adam_regularized.xlsx',index=False)
#Post checking the dropout layers dont add up in prediction
def Adam_Epochs_ES(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Decay','Training Loss','Test Loss'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
ES = EarlyStopping(monitor='mean_absolute_error',mode='min',verbose=1,patience=35)
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for d in decay:
model1 = Sequential()
model1.add(Dense(10,input_shape=(5,),activation='relu'))
model1.add(Dense(8,activation='relu'))
model1.add(Dense(4,activation='relu'))
model1.add(Dense(2,activation='relu'))
model1.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=l, decay=d)
model1.compile(optimizer=adam,metrics='mean_absolute_error',loss='mean_absolute_error')
model1.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
training_pred = model1.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model1.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Decay':d,'Training Loss':training_mae,'Test Loss':test_mae}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
notify()
return model_metrics
data8 = Adam_Epochs_ES('adam')
Epoch 1/500 35/35 [==============================] - 2s 9ms/step - loss: 2.6860 - mean_absolute_error: 2.6860 - val_loss: 1.3470 - val_mean_absolute_error: 1.3470 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9724 - mean_absolute_error: 0.9724 - val_loss: 0.7858 - val_mean_absolute_error: 0.7858 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6784 - mean_absolute_error: 0.6784 - val_loss: 0.6335 - val_mean_absolute_error: 0.6335 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5744 - mean_absolute_error: 0.5744 - val_loss: 0.5742 - val_mean_absolute_error: 0.5742 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5491 - mean_absolute_error: 0.5491 - val_loss: 0.5553 - val_mean_absolute_error: 0.5553 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5273 - mean_absolute_error: 0.5273 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 7/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5301 - mean_absolute_error: 0.5301 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5806 - val_mean_absolute_error: 0.5806 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5111 - mean_absolute_error: 0.5111 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 11/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5465 - val_mean_absolute_error: 0.5465 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5415 - val_mean_absolute_error: 0.5415 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5097 - mean_absolute_error: 0.5097 - val_loss: 0.5936 - val_mean_absolute_error: 0.5936 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5053 - mean_absolute_error: 0.5053 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5102 - mean_absolute_error: 0.5102 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5087 - mean_absolute_error: 0.5087 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4892 - mean_absolute_error: 0.4892 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 23/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5494 - val_mean_absolute_error: 0.5494 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5049 - mean_absolute_error: 0.5049 - val_loss: 0.5588 - val_mean_absolute_error: 0.5588 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5027 - mean_absolute_error: 0.5027 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5082 - mean_absolute_error: 0.5082 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5361 - val_mean_absolute_error: 0.5361 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4837 - mean_absolute_error: 0.4837 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 44/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5588 - val_mean_absolute_error: 0.5588 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4971 - mean_absolute_error: 0.4971 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4880 - mean_absolute_error: 0.4880 - val_loss: 0.5246 - val_mean_absolute_error: 0.5246 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mean_absolute_error: 0.4622 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4577 - mean_absolute_error: 0.4577 - val_loss: 0.4869 - val_mean_absolute_error: 0.4869 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4583 - mean_absolute_error: 0.4583 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4535 - mean_absolute_error: 0.4535 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.4889 - val_mean_absolute_error: 0.4889 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4440 - mean_absolute_error: 0.4440 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4454 - mean_absolute_error: 0.4454 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4452 - mean_absolute_error: 0.4452 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4389 - mean_absolute_error: 0.4389 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4433 - mean_absolute_error: 0.4433 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4484 - mean_absolute_error: 0.4484 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4503 - mean_absolute_error: 0.4503 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4413 - mean_absolute_error: 0.4413 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4392 - mean_absolute_error: 0.4392 - val_loss: 0.4823 - val_mean_absolute_error: 0.4823 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4384 - mean_absolute_error: 0.4384 - val_loss: 0.4832 - val_mean_absolute_error: 0.4832 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4478 - mean_absolute_error: 0.4478 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4409 - mean_absolute_error: 0.4409 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4374 - mean_absolute_error: 0.4374 - val_loss: 0.4770 - val_mean_absolute_error: 0.4770 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4366 - mean_absolute_error: 0.4366 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4407 - mean_absolute_error: 0.4407 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4352 - mean_absolute_error: 0.4352 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4368 - mean_absolute_error: 0.4368 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4394 - mean_absolute_error: 0.4394 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4344 - mean_absolute_error: 0.4344 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4328 - mean_absolute_error: 0.4328 - val_loss: 0.4877 - val_mean_absolute_error: 0.4877 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4335 - mean_absolute_error: 0.4335 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4304 - mean_absolute_error: 0.4304 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4577 - mean_absolute_error: 0.4577 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4303 - mean_absolute_error: 0.4303 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4251 - mean_absolute_error: 0.4251 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4398 - mean_absolute_error: 0.4398 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4345 - mean_absolute_error: 0.4345 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4241 - mean_absolute_error: 0.4241 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4270 - mean_absolute_error: 0.4270 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4246 - mean_absolute_error: 0.4246 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4274 - mean_absolute_error: 0.4274 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4319 - mean_absolute_error: 0.4319 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4307 - mean_absolute_error: 0.4307 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4348 - mean_absolute_error: 0.4348 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4260 - mean_absolute_error: 0.4260 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.5440 - val_mean_absolute_error: 0.5440 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4276 - mean_absolute_error: 0.4276 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4233 - mean_absolute_error: 0.4233 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4241 - mean_absolute_error: 0.4241 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4400 - mean_absolute_error: 0.4400 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4245 - mean_absolute_error: 0.4245 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4167 - mean_absolute_error: 0.4167 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4260 - mean_absolute_error: 0.4260 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4184 - mean_absolute_error: 0.4184 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4255 - mean_absolute_error: 0.4255 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4452 - mean_absolute_error: 0.4452 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4260 - mean_absolute_error: 0.4260 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4268 - mean_absolute_error: 0.4268 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4358 - mean_absolute_error: 0.4358 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4237 - mean_absolute_error: 0.4237 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4179 - mean_absolute_error: 0.4179 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4280 - mean_absolute_error: 0.4280 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4234 - mean_absolute_error: 0.4234 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4214 - mean_absolute_error: 0.4214 - val_loss: 0.5119 - val_mean_absolute_error: 0.5119 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4190 - mean_absolute_error: 0.4190 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4179 - mean_absolute_error: 0.4179 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4157 - mean_absolute_error: 0.4157 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4185 - mean_absolute_error: 0.4185 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4188 - mean_absolute_error: 0.4188 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4168 - mean_absolute_error: 0.4168 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4162 - mean_absolute_error: 0.4162 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 153/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4179 - mean_absolute_error: 0.4179 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4243 - mean_absolute_error: 0.4243 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4150 - mean_absolute_error: 0.4150 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4160 - mean_absolute_error: 0.4160 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4134 - mean_absolute_error: 0.4134 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4171 - mean_absolute_error: 0.4171 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4141 - mean_absolute_error: 0.4141 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4058 - mean_absolute_error: 0.4058 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4167 - mean_absolute_error: 0.4167 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 163/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4203 - mean_absolute_error: 0.4203 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4140 - mean_absolute_error: 0.4140 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4132 - mean_absolute_error: 0.4132 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4245 - mean_absolute_error: 0.4245 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4136 - mean_absolute_error: 0.4136 - val_loss: 0.5240 - val_mean_absolute_error: 0.5240 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4191 - mean_absolute_error: 0.4191 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4145 - mean_absolute_error: 0.4145 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4151 - mean_absolute_error: 0.4151 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4116 - mean_absolute_error: 0.4116 - val_loss: 0.5200 - val_mean_absolute_error: 0.5200 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4112 - mean_absolute_error: 0.4112 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4202 - mean_absolute_error: 0.4202 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4121 - mean_absolute_error: 0.4121 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4040 - mean_absolute_error: 0.4040 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4074 - mean_absolute_error: 0.4074 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4043 - mean_absolute_error: 0.4043 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4118 - mean_absolute_error: 0.4118 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4223 - mean_absolute_error: 0.4223 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4093 - mean_absolute_error: 0.4093 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4094 - mean_absolute_error: 0.4094 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4113 - mean_absolute_error: 0.4113 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4098 - mean_absolute_error: 0.4098 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4127 - mean_absolute_error: 0.4127 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4095 - mean_absolute_error: 0.4095 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4100 - mean_absolute_error: 0.4100 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4044 - mean_absolute_error: 0.4044 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4117 - mean_absolute_error: 0.4117 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4120 - mean_absolute_error: 0.4120 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4058 - mean_absolute_error: 0.4058 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4112 - mean_absolute_error: 0.4112 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4045 - mean_absolute_error: 0.4045 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4093 - mean_absolute_error: 0.4093 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mean_absolute_error: 0.4082 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4216 - mean_absolute_error: 0.4216 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4169 - mean_absolute_error: 0.4169 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mean_absolute_error: 0.4082 - val_loss: 0.4897 - val_mean_absolute_error: 0.4897 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4095 - mean_absolute_error: 0.4095 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4357 - mean_absolute_error: 0.4357 - val_loss: 0.5252 - val_mean_absolute_error: 0.5252 Epoch 202/500 35/35 [==============================] - ETA: 0s - loss: 0.3425 - mean_absolute_error: 0.342 - 0s 2ms/step - loss: 0.4074 - mean_absolute_error: 0.4074 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4051 - mean_absolute_error: 0.4051 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mean_absolute_error: 0.4082 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4176 - mean_absolute_error: 0.4176 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4107 - mean_absolute_error: 0.4107 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4042 - mean_absolute_error: 0.4042 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 208/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4134 - mean_absolute_error: 0.4134 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4127 - mean_absolute_error: 0.4127 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4110 - mean_absolute_error: 0.4110 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4262 - mean_absolute_error: 0.4262 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4027 - mean_absolute_error: 0.4027 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4045 - mean_absolute_error: 0.4045 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4151 - mean_absolute_error: 0.4151 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4200 - mean_absolute_error: 0.4200 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4093 - mean_absolute_error: 0.4093 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4054 - mean_absolute_error: 0.4054 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4109 - mean_absolute_error: 0.4109 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4028 - mean_absolute_error: 0.4028 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4154 - mean_absolute_error: 0.4154 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4079 - mean_absolute_error: 0.4079 - val_loss: 0.4847 - val_mean_absolute_error: 0.4847 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4040 - mean_absolute_error: 0.4040 - val_loss: 0.4810 - val_mean_absolute_error: 0.4810 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4055 - mean_absolute_error: 0.4055 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4028 - mean_absolute_error: 0.4028 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4044 - mean_absolute_error: 0.4044 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4009 - mean_absolute_error: 0.4009 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4005 - mean_absolute_error: 0.4005 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3971 - mean_absolute_error: 0.3971 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4028 - mean_absolute_error: 0.4028 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4101 - mean_absolute_error: 0.4101 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4113 - mean_absolute_error: 0.4113 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4015 - mean_absolute_error: 0.4015 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3960 - mean_absolute_error: 0.3960 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4118 - mean_absolute_error: 0.4118 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4103 - mean_absolute_error: 0.4103 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4032 - mean_absolute_error: 0.4032 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4012 - mean_absolute_error: 0.4012 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3963 - mean_absolute_error: 0.3963 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4052 - mean_absolute_error: 0.4052 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4035 - mean_absolute_error: 0.4035 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4004 - mean_absolute_error: 0.4004 - val_loss: 0.4852 - val_mean_absolute_error: 0.4852 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4043 - mean_absolute_error: 0.4043 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4039 - mean_absolute_error: 0.4039 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4041 - mean_absolute_error: 0.4041 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4086 - mean_absolute_error: 0.4086 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4045 - mean_absolute_error: 0.4045 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4098 - mean_absolute_error: 0.4098 - val_loss: 0.4760 - val_mean_absolute_error: 0.4760 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4013 - mean_absolute_error: 0.4013 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4081 - mean_absolute_error: 0.4081 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3979 - mean_absolute_error: 0.3979 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4050 - mean_absolute_error: 0.4050 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4044 - mean_absolute_error: 0.4044 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4001 - mean_absolute_error: 0.4001 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3923 - mean_absolute_error: 0.3923 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3938 - mean_absolute_error: 0.3938 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3977 - mean_absolute_error: 0.3977 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4029 - mean_absolute_error: 0.4029 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4003 - mean_absolute_error: 0.4003 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3987 - mean_absolute_error: 0.3987 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3944 - mean_absolute_error: 0.3944 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4069 - mean_absolute_error: 0.4069 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4012 - mean_absolute_error: 0.4012 - val_loss: 0.5219 - val_mean_absolute_error: 0.5219 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4013 - mean_absolute_error: 0.4013 - val_loss: 0.4847 - val_mean_absolute_error: 0.4847 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3954 - mean_absolute_error: 0.3954 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4029 - mean_absolute_error: 0.4029 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4000 - mean_absolute_error: 0.4000 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4017 - mean_absolute_error: 0.4017 - val_loss: 0.4828 - val_mean_absolute_error: 0.4828 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4004 - mean_absolute_error: 0.4004 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3956 - mean_absolute_error: 0.3956 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3941 - mean_absolute_error: 0.3941 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3927 - mean_absolute_error: 0.3927 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 273/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4066 - mean_absolute_error: 0.4066 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4017 - mean_absolute_error: 0.4017 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3939 - mean_absolute_error: 0.3939 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3910 - mean_absolute_error: 0.3910 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3931 - mean_absolute_error: 0.3931 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3973 - mean_absolute_error: 0.3973 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3962 - mean_absolute_error: 0.3962 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4005 - mean_absolute_error: 0.4005 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3974 - mean_absolute_error: 0.3974 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4056 - mean_absolute_error: 0.4056 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4047 - mean_absolute_error: 0.4047 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3931 - mean_absolute_error: 0.3931 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3960 - mean_absolute_error: 0.3960 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3938 - mean_absolute_error: 0.3938 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4109 - mean_absolute_error: 0.4109 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3929 - mean_absolute_error: 0.3929 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3988 - mean_absolute_error: 0.3988 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3961 - mean_absolute_error: 0.3961 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3989 - mean_absolute_error: 0.3989 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3980 - mean_absolute_error: 0.3980 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3995 - mean_absolute_error: 0.3995 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4049 - mean_absolute_error: 0.4049 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4072 - mean_absolute_error: 0.4072 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3961 - mean_absolute_error: 0.3961 - val_loss: 0.5257 - val_mean_absolute_error: 0.5257 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3966 - mean_absolute_error: 0.3966 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3998 - mean_absolute_error: 0.3998 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3915 - mean_absolute_error: 0.3915 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3911 - mean_absolute_error: 0.3911 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3868 - mean_absolute_error: 0.3868 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3979 - mean_absolute_error: 0.3979 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3986 - mean_absolute_error: 0.3986 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3948 - mean_absolute_error: 0.3948 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3981 - mean_absolute_error: 0.3981 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3976 - mean_absolute_error: 0.3976 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3940 - mean_absolute_error: 0.3940 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3952 - mean_absolute_error: 0.3952 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3911 - mean_absolute_error: 0.3911 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3959 - mean_absolute_error: 0.3959 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3981 - mean_absolute_error: 0.3981 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4018 - mean_absolute_error: 0.4018 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3896 - mean_absolute_error: 0.3896 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3941 - mean_absolute_error: 0.3941 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3919 - mean_absolute_error: 0.3919 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3888 - mean_absolute_error: 0.3888 - val_loss: 0.5223 - val_mean_absolute_error: 0.5223 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3885 - mean_absolute_error: 0.3885 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3925 - mean_absolute_error: 0.3925 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3934 - mean_absolute_error: 0.3934 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3955 - mean_absolute_error: 0.3955 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3881 - mean_absolute_error: 0.3881 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4020 - mean_absolute_error: 0.4020 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4079 - mean_absolute_error: 0.4079 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3979 - mean_absolute_error: 0.3979 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3907 - mean_absolute_error: 0.3907 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3939 - mean_absolute_error: 0.3939 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3994 - mean_absolute_error: 0.3994 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3962 - mean_absolute_error: 0.3962 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4051 - mean_absolute_error: 0.4051 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4030 - mean_absolute_error: 0.4030 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3928 - mean_absolute_error: 0.3928 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3944 - mean_absolute_error: 0.3944 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3947 - mean_absolute_error: 0.3947 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3873 - mean_absolute_error: 0.3873 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4036 - mean_absolute_error: 0.4036 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4038 - mean_absolute_error: 0.4038 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 00337: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 4.4007 - mean_absolute_error: 4.4007 - val_loss: 1.5014 - val_mean_absolute_error: 1.5014 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2901 - mean_absolute_error: 1.2901 - val_loss: 1.0248 - val_mean_absolute_error: 1.0248 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8776 - mean_absolute_error: 0.8776 - val_loss: 0.8407 - val_mean_absolute_error: 0.8407 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7086 - mean_absolute_error: 0.7086 - val_loss: 0.7186 - val_mean_absolute_error: 0.7186 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6114 - mean_absolute_error: 0.6114 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5636 - mean_absolute_error: 0.5636 - val_loss: 0.5933 - val_mean_absolute_error: 0.5933 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5567 - val_mean_absolute_error: 0.5567 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5119 - mean_absolute_error: 0.5119 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5031 - mean_absolute_error: 0.5031 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5123 - mean_absolute_error: 0.5123 - val_loss: 0.5213 - val_mean_absolute_error: 0.5213 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5113 - mean_absolute_error: 0.5113 - val_loss: 0.5466 - val_mean_absolute_error: 0.5466 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 16/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5050 - mean_absolute_error: 0.5050 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5030 - mean_absolute_error: 0.5030 - val_loss: 0.5217 - val_mean_absolute_error: 0.5217 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5534 - val_mean_absolute_error: 0.5534 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5132 - mean_absolute_error: 0.5132 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4994 - mean_absolute_error: 0.4994 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5308 - mean_absolute_error: 0.5308 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5125 - mean_absolute_error: 0.5125 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5071 - mean_absolute_error: 0.5071 - val_loss: 0.5577 - val_mean_absolute_error: 0.5577 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5091 - mean_absolute_error: 0.5091 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5132 - mean_absolute_error: 0.5132 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 27/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4982 - mean_absolute_error: 0.4982 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5058 - mean_absolute_error: 0.5058 - val_loss: 0.5241 - val_mean_absolute_error: 0.5241 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4967 - mean_absolute_error: 0.4967 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5012 - mean_absolute_error: 0.5012 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5213 - mean_absolute_error: 0.5213 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 33/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5132 - mean_absolute_error: 0.5132 - val_loss: 0.5447 - val_mean_absolute_error: 0.5447 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mean_absolute_error: 0.5114 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4951 - mean_absolute_error: 0.4951 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5040 - mean_absolute_error: 0.5040 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5152 - val_mean_absolute_error: 0.5152 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4941 - mean_absolute_error: 0.4941 - val_loss: 0.5163 - val_mean_absolute_error: 0.5163 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4954 - mean_absolute_error: 0.4954 - val_loss: 0.5176 - val_mean_absolute_error: 0.5176 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5050 - mean_absolute_error: 0.5050 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4945 - mean_absolute_error: 0.4945 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4990 - mean_absolute_error: 0.4990 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4962 - mean_absolute_error: 0.4962 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5040 - mean_absolute_error: 0.5040 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4862 - mean_absolute_error: 0.4862 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4906 - mean_absolute_error: 0.4906 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 63/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4949 - mean_absolute_error: 0.4949 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 64/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4947 - mean_absolute_error: 0.4947 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 66/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4890 - mean_absolute_error: 0.4890 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 67/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4938 - mean_absolute_error: 0.4938 - val_loss: 0.5216 - val_mean_absolute_error: 0.5216 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5351 - val_mean_absolute_error: 0.5351 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4949 - mean_absolute_error: 0.4949 - val_loss: 0.5721 - val_mean_absolute_error: 0.5721 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5037 - mean_absolute_error: 0.5037 - val_loss: 0.5237 - val_mean_absolute_error: 0.5237 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 75/500 35/35 [==============================] - ETA: 0s - loss: 0.4145 - mean_absolute_error: 0.414 - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5235 - val_mean_absolute_error: 0.5235 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4904 - mean_absolute_error: 0.4904 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4915 - mean_absolute_error: 0.4915 - val_loss: 0.5477 - val_mean_absolute_error: 0.5477 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4928 - mean_absolute_error: 0.4928 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5094 - mean_absolute_error: 0.5094 - val_loss: 0.5391 - val_mean_absolute_error: 0.5391 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4975 - mean_absolute_error: 0.4975 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4870 - mean_absolute_error: 0.4870 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 95/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5197 - val_mean_absolute_error: 0.5197 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5173 - val_mean_absolute_error: 0.5173 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.5173 - val_mean_absolute_error: 0.5173 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5117 - val_mean_absolute_error: 0.5117 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4855 - mean_absolute_error: 0.4855 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4871 - mean_absolute_error: 0.4871 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4963 - mean_absolute_error: 0.4963 - val_loss: 0.5486 - val_mean_absolute_error: 0.5486 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5008 - mean_absolute_error: 0.5008 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5161 - val_mean_absolute_error: 0.5161 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5258 - val_mean_absolute_error: 0.5258 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5277 - val_mean_absolute_error: 0.5277 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mean_absolute_error: 0.4847 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5251 - val_mean_absolute_error: 0.5251 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5132 - val_mean_absolute_error: 0.5132 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5422 - val_mean_absolute_error: 0.5422 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4866 - mean_absolute_error: 0.4866 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5113 - val_mean_absolute_error: 0.5113 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5201 - val_mean_absolute_error: 0.5201 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5199 - val_mean_absolute_error: 0.5199 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5429 - val_mean_absolute_error: 0.5429 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4853 - mean_absolute_error: 0.4853 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5175 - val_mean_absolute_error: 0.5175 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5263 - val_mean_absolute_error: 0.5263 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5199 - val_mean_absolute_error: 0.5199 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4823 - mean_absolute_error: 0.4823 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4785 - mean_absolute_error: 0.4785 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5204 - val_mean_absolute_error: 0.5204 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5182 - val_mean_absolute_error: 0.5182 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4876 - mean_absolute_error: 0.4876 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5155 - val_mean_absolute_error: 0.5155 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5125 - val_mean_absolute_error: 0.5125 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5680 - val_mean_absolute_error: 0.5680 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5242 - val_mean_absolute_error: 0.5242 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5132 - val_mean_absolute_error: 0.5132 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5233 - val_mean_absolute_error: 0.5233 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.5211 - val_mean_absolute_error: 0.5211 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5394 - val_mean_absolute_error: 0.5394 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5232 - val_mean_absolute_error: 0.5232 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5132 - val_mean_absolute_error: 0.5132 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5188 - val_mean_absolute_error: 0.5188 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5256 - val_mean_absolute_error: 0.5256 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 00265: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 3.7058 - mean_absolute_error: 3.7058 - val_loss: 1.9967 - val_mean_absolute_error: 1.9967 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3563 - mean_absolute_error: 1.3563 - val_loss: 1.1612 - val_mean_absolute_error: 1.1612 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9478 - mean_absolute_error: 0.9478 - val_loss: 0.9190 - val_mean_absolute_error: 0.9190 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8062 - mean_absolute_error: 0.8062 - val_loss: 0.7895 - val_mean_absolute_error: 0.7895 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7106 - mean_absolute_error: 0.7106 - val_loss: 0.7187 - val_mean_absolute_error: 0.7187 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6499 - mean_absolute_error: 0.6499 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6075 - mean_absolute_error: 0.6075 - val_loss: 0.6400 - val_mean_absolute_error: 0.6400 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5729 - mean_absolute_error: 0.5729 - val_loss: 0.6119 - val_mean_absolute_error: 0.6119 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5529 - mean_absolute_error: 0.5529 - val_loss: 0.6057 - val_mean_absolute_error: 0.6057 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5418 - mean_absolute_error: 0.5418 - val_loss: 0.5911 - val_mean_absolute_error: 0.5911 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5744 - val_mean_absolute_error: 0.5744 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5702 - val_mean_absolute_error: 0.5702 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5626 - val_mean_absolute_error: 0.5626 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5605 - val_mean_absolute_error: 0.5605 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5119 - mean_absolute_error: 0.5119 - val_loss: 0.5614 - val_mean_absolute_error: 0.5614 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5500 - val_mean_absolute_error: 0.5500 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5077 - mean_absolute_error: 0.5077 - val_loss: 0.5487 - val_mean_absolute_error: 0.5487 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5484 - val_mean_absolute_error: 0.5484 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5447 - val_mean_absolute_error: 0.5447 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5410 - val_mean_absolute_error: 0.5410 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5420 - val_mean_absolute_error: 0.5420 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4968 - mean_absolute_error: 0.4968 - val_loss: 0.5427 - val_mean_absolute_error: 0.5427 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4979 - mean_absolute_error: 0.4979 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5384 - val_mean_absolute_error: 0.5384 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4948 - mean_absolute_error: 0.4948 - val_loss: 0.5360 - val_mean_absolute_error: 0.5360 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4930 - mean_absolute_error: 0.4930 - val_loss: 0.5328 - val_mean_absolute_error: 0.5328 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4908 - mean_absolute_error: 0.4908 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4901 - mean_absolute_error: 0.4901 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4896 - mean_absolute_error: 0.4896 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mean_absolute_error: 0.4902 - val_loss: 0.5284 - val_mean_absolute_error: 0.5284 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5288 - val_mean_absolute_error: 0.5288 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5270 - val_mean_absolute_error: 0.5270 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5264 - val_mean_absolute_error: 0.5264 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mean_absolute_error: 0.4847 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5249 - val_mean_absolute_error: 0.5249 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5245 - val_mean_absolute_error: 0.5245 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4835 - mean_absolute_error: 0.4835 - val_loss: 0.5234 - val_mean_absolute_error: 0.5234 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5266 - val_mean_absolute_error: 0.5266 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5243 - val_mean_absolute_error: 0.5243 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5224 - val_mean_absolute_error: 0.5224 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4819 - mean_absolute_error: 0.4819 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5222 - val_mean_absolute_error: 0.5222 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4819 - mean_absolute_error: 0.4819 - val_loss: 0.5231 - val_mean_absolute_error: 0.5231 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5214 - val_mean_absolute_error: 0.5214 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5206 - val_mean_absolute_error: 0.5206 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5205 - val_mean_absolute_error: 0.5205 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5185 - val_mean_absolute_error: 0.5185 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5172 - val_mean_absolute_error: 0.5172 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5178 - val_mean_absolute_error: 0.5178 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5174 - val_mean_absolute_error: 0.5174 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5170 - val_mean_absolute_error: 0.5170 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5193 - val_mean_absolute_error: 0.5193 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5139 - val_mean_absolute_error: 0.5139 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5137 - val_mean_absolute_error: 0.5137 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5154 - val_mean_absolute_error: 0.5154 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5151 - val_mean_absolute_error: 0.5151 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5166 - val_mean_absolute_error: 0.5166 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5144 - val_mean_absolute_error: 0.5144 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5142 - val_mean_absolute_error: 0.5142 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5131 - val_mean_absolute_error: 0.5131 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5129 - val_mean_absolute_error: 0.5129 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5134 - val_mean_absolute_error: 0.5134 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5120 - val_mean_absolute_error: 0.5120 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5102 - val_mean_absolute_error: 0.5102 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5109 - val_mean_absolute_error: 0.5109 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4705 - mean_absolute_error: 0.4705 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5101 - val_mean_absolute_error: 0.5101 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.5100 - val_mean_absolute_error: 0.5100 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.5091 - val_mean_absolute_error: 0.5091 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5083 - val_mean_absolute_error: 0.5083 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5082 - val_mean_absolute_error: 0.5082 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.5072 - val_mean_absolute_error: 0.5072 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4667 - mean_absolute_error: 0.4667 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4668 - mean_absolute_error: 0.4668 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4667 - mean_absolute_error: 0.4667 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4657 - mean_absolute_error: 0.4657 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4649 - mean_absolute_error: 0.4649 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4648 - mean_absolute_error: 0.4648 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 424/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4645 - mean_absolute_error: 0.4645 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4642 - mean_absolute_error: 0.4642 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4640 - mean_absolute_error: 0.4640 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 466/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mean_absolute_error: 0.4639 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4637 - mean_absolute_error: 0.4637 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4635 - mean_absolute_error: 0.4635 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.3741 - mean_absolute_error: 5.3741 - val_loss: 5.3058 - val_mean_absolute_error: 5.3058 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.2658 - mean_absolute_error: 5.2658 - val_loss: 5.2429 - val_mean_absolute_error: 5.2429 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.2168 - mean_absolute_error: 5.2168 - val_loss: 5.2038 - val_mean_absolute_error: 5.2038 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.1834 - mean_absolute_error: 5.1834 - val_loss: 5.1748 - val_mean_absolute_error: 5.1748 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.1577 - mean_absolute_error: 5.1577 - val_loss: 5.1516 - val_mean_absolute_error: 5.1516 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.1368 - mean_absolute_error: 5.1368 - val_loss: 5.1322 - val_mean_absolute_error: 5.1322 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.1191 - mean_absolute_error: 5.1191 - val_loss: 5.1155 - val_mean_absolute_error: 5.1155 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.1036 - mean_absolute_error: 5.1036 - val_loss: 5.1008 - val_mean_absolute_error: 5.1008 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0899 - mean_absolute_error: 5.0899 - val_loss: 5.0875 - val_mean_absolute_error: 5.0875 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0776 - mean_absolute_error: 5.0776 - val_loss: 5.0756 - val_mean_absolute_error: 5.0756 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0664 - mean_absolute_error: 5.0664 - val_loss: 5.0647 - val_mean_absolute_error: 5.0647 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0561 - mean_absolute_error: 5.0561 - val_loss: 5.0546 - val_mean_absolute_error: 5.0546 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0465 - mean_absolute_error: 5.0465 - val_loss: 5.0452 - val_mean_absolute_error: 5.0452 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0376 - mean_absolute_error: 5.0376 - val_loss: 5.0366 - val_mean_absolute_error: 5.0366 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0294 - mean_absolute_error: 5.0294 - val_loss: 5.0285 - val_mean_absolute_error: 5.0285 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0216 - mean_absolute_error: 5.0216 - val_loss: 5.0210 - val_mean_absolute_error: 5.0210 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0143 - mean_absolute_error: 5.0143 - val_loss: 5.0138 - val_mean_absolute_error: 5.0138 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0074 - mean_absolute_error: 5.0074 - val_loss: 5.0070 - val_mean_absolute_error: 5.0070 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.0009 - mean_absolute_error: 5.0009 - val_loss: 5.0006 - val_mean_absolute_error: 5.0006 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9947 - mean_absolute_error: 4.9947 - val_loss: 4.9944 - val_mean_absolute_error: 4.9944 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9887 - mean_absolute_error: 4.9887 - val_loss: 4.9885 - val_mean_absolute_error: 4.9885 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9830 - mean_absolute_error: 4.9830 - val_loss: 4.9829 - val_mean_absolute_error: 4.9829 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9776 - mean_absolute_error: 4.9776 - val_loss: 4.9776 - val_mean_absolute_error: 4.9776 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9724 - mean_absolute_error: 4.9724 - val_loss: 4.9724 - val_mean_absolute_error: 4.9724 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9673 - mean_absolute_error: 4.9673 - val_loss: 4.9674 - val_mean_absolute_error: 4.9674 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9625 - mean_absolute_error: 4.9625 - val_loss: 4.9626 - val_mean_absolute_error: 4.9626 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9579 - mean_absolute_error: 4.9579 - val_loss: 4.9580 - val_mean_absolute_error: 4.9580 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9533 - mean_absolute_error: 4.9533 - val_loss: 4.9536 - val_mean_absolute_error: 4.9536 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9490 - mean_absolute_error: 4.9490 - val_loss: 4.9492 - val_mean_absolute_error: 4.9492 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9447 - mean_absolute_error: 4.9447 - val_loss: 4.9450 - val_mean_absolute_error: 4.9450 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9406 - mean_absolute_error: 4.9406 - val_loss: 4.9410 - val_mean_absolute_error: 4.9410 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9367 - mean_absolute_error: 4.9367 - val_loss: 4.9371 - val_mean_absolute_error: 4.9371 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9328 - mean_absolute_error: 4.9328 - val_loss: 4.9332 - val_mean_absolute_error: 4.9332 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9290 - mean_absolute_error: 4.9290 - val_loss: 4.9295 - val_mean_absolute_error: 4.9295 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9254 - mean_absolute_error: 4.9254 - val_loss: 4.9259 - val_mean_absolute_error: 4.9259 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9218 - mean_absolute_error: 4.9218 - val_loss: 4.9224 - val_mean_absolute_error: 4.9224 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9184 - mean_absolute_error: 4.9184 - val_loss: 4.9189 - val_mean_absolute_error: 4.9189 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9150 - mean_absolute_error: 4.9150 - val_loss: 4.9156 - val_mean_absolute_error: 4.9156 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9117 - mean_absolute_error: 4.9117 - val_loss: 4.9123 - val_mean_absolute_error: 4.9123 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9085 - mean_absolute_error: 4.9085 - val_loss: 4.9092 - val_mean_absolute_error: 4.9092 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9054 - mean_absolute_error: 4.9054 - val_loss: 4.9061 - val_mean_absolute_error: 4.9061 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9023 - mean_absolute_error: 4.9023 - val_loss: 4.9031 - val_mean_absolute_error: 4.9031 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8994 - mean_absolute_error: 4.8994 - val_loss: 4.9001 - val_mean_absolute_error: 4.9001 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8964 - mean_absolute_error: 4.8964 - val_loss: 4.8971 - val_mean_absolute_error: 4.8971 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8936 - mean_absolute_error: 4.8936 - val_loss: 4.8943 - val_mean_absolute_error: 4.8943 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8908 - mean_absolute_error: 4.8908 - val_loss: 4.8915 - val_mean_absolute_error: 4.8915 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8880 - mean_absolute_error: 4.8880 - val_loss: 4.8888 - val_mean_absolute_error: 4.8888 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8853 - mean_absolute_error: 4.8853 - val_loss: 4.8861 - val_mean_absolute_error: 4.8861 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8827 - mean_absolute_error: 4.8827 - val_loss: 4.8835 - val_mean_absolute_error: 4.8835 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8801 - mean_absolute_error: 4.8801 - val_loss: 4.8809 - val_mean_absolute_error: 4.8809 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8776 - mean_absolute_error: 4.8776 - val_loss: 4.8784 - val_mean_absolute_error: 4.8784 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8751 - mean_absolute_error: 4.8751 - val_loss: 4.8759 - val_mean_absolute_error: 4.8759 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8726 - mean_absolute_error: 4.8726 - val_loss: 4.8734 - val_mean_absolute_error: 4.8734 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8702 - mean_absolute_error: 4.8702 - val_loss: 4.8710 - val_mean_absolute_error: 4.8710 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8679 - mean_absolute_error: 4.8679 - val_loss: 4.8687 - val_mean_absolute_error: 4.8687 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8656 - mean_absolute_error: 4.8656 - val_loss: 4.8664 - val_mean_absolute_error: 4.8664 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8633 - mean_absolute_error: 4.8633 - val_loss: 4.8641 - val_mean_absolute_error: 4.8641 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8611 - mean_absolute_error: 4.8611 - val_loss: 4.8619 - val_mean_absolute_error: 4.8619 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8589 - mean_absolute_error: 4.8589 - val_loss: 4.8597 - val_mean_absolute_error: 4.8597 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8567 - mean_absolute_error: 4.8567 - val_loss: 4.8575 - val_mean_absolute_error: 4.8575 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8545 - mean_absolute_error: 4.8545 - val_loss: 4.8554 - val_mean_absolute_error: 4.8554 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8524 - mean_absolute_error: 4.8524 - val_loss: 4.8533 - val_mean_absolute_error: 4.8533 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8504 - mean_absolute_error: 4.8504 - val_loss: 4.8512 - val_mean_absolute_error: 4.8512 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8483 - mean_absolute_error: 4.8483 - val_loss: 4.8492 - val_mean_absolute_error: 4.8492 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8463 - mean_absolute_error: 4.8463 - val_loss: 4.8472 - val_mean_absolute_error: 4.8472 Epoch 66/500 35/35 [==============================] - 0s 3ms/step - loss: 4.8444 - mean_absolute_error: 4.8444 - val_loss: 4.8452 - val_mean_absolute_error: 4.8452 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8424 - mean_absolute_error: 4.8424 - val_loss: 4.8432 - val_mean_absolute_error: 4.8432 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8405 - mean_absolute_error: 4.8405 - val_loss: 4.8413 - val_mean_absolute_error: 4.8413 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8386 - mean_absolute_error: 4.8386 - val_loss: 4.8394 - val_mean_absolute_error: 4.8394 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8367 - mean_absolute_error: 4.8367 - val_loss: 4.8375 - val_mean_absolute_error: 4.8375 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8348 - mean_absolute_error: 4.8348 - val_loss: 4.8357 - val_mean_absolute_error: 4.8357 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8330 - mean_absolute_error: 4.8330 - val_loss: 4.8338 - val_mean_absolute_error: 4.8338 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8312 - mean_absolute_error: 4.8312 - val_loss: 4.8320 - val_mean_absolute_error: 4.8320 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8294 - mean_absolute_error: 4.8294 - val_loss: 4.8303 - val_mean_absolute_error: 4.8303 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8277 - mean_absolute_error: 4.8277 - val_loss: 4.8285 - val_mean_absolute_error: 4.8285 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8259 - mean_absolute_error: 4.8259 - val_loss: 4.8268 - val_mean_absolute_error: 4.8268 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8242 - mean_absolute_error: 4.8242 - val_loss: 4.8250 - val_mean_absolute_error: 4.8250 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8225 - mean_absolute_error: 4.8225 - val_loss: 4.8234 - val_mean_absolute_error: 4.8234 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8209 - mean_absolute_error: 4.8209 - val_loss: 4.8217 - val_mean_absolute_error: 4.8217 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8192 - mean_absolute_error: 4.8192 - val_loss: 4.8200 - val_mean_absolute_error: 4.8200 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8176 - mean_absolute_error: 4.8176 - val_loss: 4.8184 - val_mean_absolute_error: 4.8184 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8160 - mean_absolute_error: 4.8160 - val_loss: 4.8168 - val_mean_absolute_error: 4.8168 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8144 - mean_absolute_error: 4.8144 - val_loss: 4.8152 - val_mean_absolute_error: 4.8152 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8128 - mean_absolute_error: 4.8128 - val_loss: 4.8136 - val_mean_absolute_error: 4.8136 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8112 - mean_absolute_error: 4.8112 - val_loss: 4.8121 - val_mean_absolute_error: 4.8121 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8097 - mean_absolute_error: 4.8097 - val_loss: 4.8105 - val_mean_absolute_error: 4.8105 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8082 - mean_absolute_error: 4.8082 - val_loss: 4.8090 - val_mean_absolute_error: 4.8090 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8067 - mean_absolute_error: 4.8067 - val_loss: 4.8075 - val_mean_absolute_error: 4.8075 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8052 - mean_absolute_error: 4.8052 - val_loss: 4.8060 - val_mean_absolute_error: 4.8060 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8037 - mean_absolute_error: 4.8037 - val_loss: 4.8045 - val_mean_absolute_error: 4.8045 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8022 - mean_absolute_error: 4.8022 - val_loss: 4.8031 - val_mean_absolute_error: 4.8031 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 4.8008 - mean_absolute_error: 4.8008 - val_loss: 4.8016 - val_mean_absolute_error: 4.8016 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7993 - mean_absolute_error: 4.7993 - val_loss: 4.8002 - val_mean_absolute_error: 4.8002 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7979 - mean_absolute_error: 4.7979 - val_loss: 4.7988 - val_mean_absolute_error: 4.7988 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7965 - mean_absolute_error: 4.7965 - val_loss: 4.7974 - val_mean_absolute_error: 4.7974 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7951 - mean_absolute_error: 4.7951 - val_loss: 4.7960 - val_mean_absolute_error: 4.7960 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7938 - mean_absolute_error: 4.7938 - val_loss: 4.7946 - val_mean_absolute_error: 4.7946 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7924 - mean_absolute_error: 4.7924 - val_loss: 4.7933 - val_mean_absolute_error: 4.7933 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7911 - mean_absolute_error: 4.7911 - val_loss: 4.7919 - val_mean_absolute_error: 4.7919 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7897 - mean_absolute_error: 4.7897 - val_loss: 4.7906 - val_mean_absolute_error: 4.7906 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7884 - mean_absolute_error: 4.7884 - val_loss: 4.7892 - val_mean_absolute_error: 4.7892 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7871 - mean_absolute_error: 4.7871 - val_loss: 4.7879 - val_mean_absolute_error: 4.7879 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7858 - mean_absolute_error: 4.7858 - val_loss: 4.7866 - val_mean_absolute_error: 4.7866 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7845 - mean_absolute_error: 4.7845 - val_loss: 4.7853 - val_mean_absolute_error: 4.7853 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7832 - mean_absolute_error: 4.7832 - val_loss: 4.7841 - val_mean_absolute_error: 4.7841 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7820 - mean_absolute_error: 4.7820 - val_loss: 4.7828 - val_mean_absolute_error: 4.7828 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7807 - mean_absolute_error: 4.7807 - val_loss: 4.7815 - val_mean_absolute_error: 4.7815 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7795 - mean_absolute_error: 4.7795 - val_loss: 4.7803 - val_mean_absolute_error: 4.7803 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7783 - mean_absolute_error: 4.7783 - val_loss: 4.7791 - val_mean_absolute_error: 4.7791 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7770 - mean_absolute_error: 4.7770 - val_loss: 4.7778 - val_mean_absolute_error: 4.7778 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7758 - mean_absolute_error: 4.7758 - val_loss: 4.7766 - val_mean_absolute_error: 4.7766 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7746 - mean_absolute_error: 4.7746 - val_loss: 4.7754 - val_mean_absolute_error: 4.7754 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7735 - mean_absolute_error: 4.7735 - val_loss: 4.7742 - val_mean_absolute_error: 4.7742 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7723 - mean_absolute_error: 4.7723 - val_loss: 4.7731 - val_mean_absolute_error: 4.7731 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7711 - mean_absolute_error: 4.7711 - val_loss: 4.7719 - val_mean_absolute_error: 4.7719 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7699 - mean_absolute_error: 4.7699 - val_loss: 4.7707 - val_mean_absolute_error: 4.7707 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7688 - mean_absolute_error: 4.7688 - val_loss: 4.7696 - val_mean_absolute_error: 4.7696 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7677 - mean_absolute_error: 4.7677 - val_loss: 4.7684 - val_mean_absolute_error: 4.7684 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7665 - mean_absolute_error: 4.7665 - val_loss: 4.7673 - val_mean_absolute_error: 4.7673 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7654 - mean_absolute_error: 4.7654 - val_loss: 4.7662 - val_mean_absolute_error: 4.7662 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7643 - mean_absolute_error: 4.7643 - val_loss: 4.7651 - val_mean_absolute_error: 4.7651 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7632 - mean_absolute_error: 4.7632 - val_loss: 4.7639 - val_mean_absolute_error: 4.7639 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7621 - mean_absolute_error: 4.7621 - val_loss: 4.7628 - val_mean_absolute_error: 4.7628 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7610 - mean_absolute_error: 4.7610 - val_loss: 4.7618 - val_mean_absolute_error: 4.7618 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7599 - mean_absolute_error: 4.7599 - val_loss: 4.7607 - val_mean_absolute_error: 4.7607 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7589 - mean_absolute_error: 4.7589 - val_loss: 4.7596 - val_mean_absolute_error: 4.7596 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7578 - mean_absolute_error: 4.7578 - val_loss: 4.7585 - val_mean_absolute_error: 4.7585 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7568 - mean_absolute_error: 4.7568 - val_loss: 4.7575 - val_mean_absolute_error: 4.7575 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7557 - mean_absolute_error: 4.7557 - val_loss: 4.7564 - val_mean_absolute_error: 4.7564 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7547 - mean_absolute_error: 4.7547 - val_loss: 4.7554 - val_mean_absolute_error: 4.7554 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7537 - mean_absolute_error: 4.7537 - val_loss: 4.7543 - val_mean_absolute_error: 4.7543 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7526 - mean_absolute_error: 4.7526 - val_loss: 4.7533 - val_mean_absolute_error: 4.7533 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7516 - mean_absolute_error: 4.7516 - val_loss: 4.7523 - val_mean_absolute_error: 4.7523 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7506 - mean_absolute_error: 4.7506 - val_loss: 4.7513 - val_mean_absolute_error: 4.7513 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7496 - mean_absolute_error: 4.7496 - val_loss: 4.7503 - val_mean_absolute_error: 4.7503 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7486 - mean_absolute_error: 4.7486 - val_loss: 4.7493 - val_mean_absolute_error: 4.7493 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7476 - mean_absolute_error: 4.7476 - val_loss: 4.7483 - val_mean_absolute_error: 4.7483 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7466 - mean_absolute_error: 4.7466 - val_loss: 4.7473 - val_mean_absolute_error: 4.7473 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7457 - mean_absolute_error: 4.7457 - val_loss: 4.7463 - val_mean_absolute_error: 4.7463 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7447 - mean_absolute_error: 4.7447 - val_loss: 4.7454 - val_mean_absolute_error: 4.7454 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7437 - mean_absolute_error: 4.7437 - val_loss: 4.7444 - val_mean_absolute_error: 4.7444 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7428 - mean_absolute_error: 4.7428 - val_loss: 4.7434 - val_mean_absolute_error: 4.7434 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7418 - mean_absolute_error: 4.7418 - val_loss: 4.7425 - val_mean_absolute_error: 4.7425 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7409 - mean_absolute_error: 4.7409 - val_loss: 4.7415 - val_mean_absolute_error: 4.7415 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7400 - mean_absolute_error: 4.7400 - val_loss: 4.7406 - val_mean_absolute_error: 4.7406 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7390 - mean_absolute_error: 4.7390 - val_loss: 4.7397 - val_mean_absolute_error: 4.7397 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7381 - mean_absolute_error: 4.7381 - val_loss: 4.7387 - val_mean_absolute_error: 4.7387 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7372 - mean_absolute_error: 4.7372 - val_loss: 4.7378 - val_mean_absolute_error: 4.7378 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7363 - mean_absolute_error: 4.7363 - val_loss: 4.7369 - val_mean_absolute_error: 4.7369 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7354 - mean_absolute_error: 4.7354 - val_loss: 4.7360 - val_mean_absolute_error: 4.7360 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7345 - mean_absolute_error: 4.7345 - val_loss: 4.7351 - val_mean_absolute_error: 4.7351 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7336 - mean_absolute_error: 4.7336 - val_loss: 4.7342 - val_mean_absolute_error: 4.7342 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7327 - mean_absolute_error: 4.7327 - val_loss: 4.7333 - val_mean_absolute_error: 4.7333 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7318 - mean_absolute_error: 4.7318 - val_loss: 4.7324 - val_mean_absolute_error: 4.7324 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7309 - mean_absolute_error: 4.7309 - val_loss: 4.7315 - val_mean_absolute_error: 4.7315 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7300 - mean_absolute_error: 4.7300 - val_loss: 4.7306 - val_mean_absolute_error: 4.7306 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7292 - mean_absolute_error: 4.7292 - val_loss: 4.7298 - val_mean_absolute_error: 4.7298 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7283 - mean_absolute_error: 4.7283 - val_loss: 4.7289 - val_mean_absolute_error: 4.7289 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7275 - mean_absolute_error: 4.7275 - val_loss: 4.7280 - val_mean_absolute_error: 4.7280 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7266 - mean_absolute_error: 4.7266 - val_loss: 4.7272 - val_mean_absolute_error: 4.7272 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7258 - mean_absolute_error: 4.7258 - val_loss: 4.7263 - val_mean_absolute_error: 4.7263 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7249 - mean_absolute_error: 4.7249 - val_loss: 4.7255 - val_mean_absolute_error: 4.7255 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7241 - mean_absolute_error: 4.7241 - val_loss: 4.7246 - val_mean_absolute_error: 4.7246 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7232 - mean_absolute_error: 4.7232 - val_loss: 4.7238 - val_mean_absolute_error: 4.7238 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7224 - mean_absolute_error: 4.7224 - val_loss: 4.7230 - val_mean_absolute_error: 4.7230 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7216 - mean_absolute_error: 4.7216 - val_loss: 4.7221 - val_mean_absolute_error: 4.7221 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7208 - mean_absolute_error: 4.7208 - val_loss: 4.7213 - val_mean_absolute_error: 4.7213 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7199 - mean_absolute_error: 4.7199 - val_loss: 4.7205 - val_mean_absolute_error: 4.7205 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7191 - mean_absolute_error: 4.7191 - val_loss: 4.7197 - val_mean_absolute_error: 4.7197 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7183 - mean_absolute_error: 4.7183 - val_loss: 4.7188 - val_mean_absolute_error: 4.7188 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7175 - mean_absolute_error: 4.7175 - val_loss: 4.7180 - val_mean_absolute_error: 4.7180 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7167 - mean_absolute_error: 4.7167 - val_loss: 4.7172 - val_mean_absolute_error: 4.7172 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7159 - mean_absolute_error: 4.7159 - val_loss: 4.7164 - val_mean_absolute_error: 4.7164 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7151 - mean_absolute_error: 4.7151 - val_loss: 4.7156 - val_mean_absolute_error: 4.7156 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7144 - mean_absolute_error: 4.7144 - val_loss: 4.7148 - val_mean_absolute_error: 4.7148 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7136 - mean_absolute_error: 4.7136 - val_loss: 4.7141 - val_mean_absolute_error: 4.7141 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7128 - mean_absolute_error: 4.7128 - val_loss: 4.7133 - val_mean_absolute_error: 4.7133 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7120 - mean_absolute_error: 4.7120 - val_loss: 4.7125 - val_mean_absolute_error: 4.7125 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7113 - mean_absolute_error: 4.7113 - val_loss: 4.7117 - val_mean_absolute_error: 4.7117 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7105 - mean_absolute_error: 4.7105 - val_loss: 4.7110 - val_mean_absolute_error: 4.7110 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7097 - mean_absolute_error: 4.7097 - val_loss: 4.7102 - val_mean_absolute_error: 4.7102 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7090 - mean_absolute_error: 4.7090 - val_loss: 4.7094 - val_mean_absolute_error: 4.7094 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7082 - mean_absolute_error: 4.7082 - val_loss: 4.7087 - val_mean_absolute_error: 4.7087 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7075 - mean_absolute_error: 4.7075 - val_loss: 4.7079 - val_mean_absolute_error: 4.7079 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7067 - mean_absolute_error: 4.7067 - val_loss: 4.7072 - val_mean_absolute_error: 4.7072 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7060 - mean_absolute_error: 4.7060 - val_loss: 4.7064 - val_mean_absolute_error: 4.7064 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7053 - mean_absolute_error: 4.7053 - val_loss: 4.7057 - val_mean_absolute_error: 4.7057 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7045 - mean_absolute_error: 4.7045 - val_loss: 4.7049 - val_mean_absolute_error: 4.7049 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7038 - mean_absolute_error: 4.7038 - val_loss: 4.7042 - val_mean_absolute_error: 4.7042 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7031 - mean_absolute_error: 4.7031 - val_loss: 4.7035 - val_mean_absolute_error: 4.7035 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7024 - mean_absolute_error: 4.7024 - val_loss: 4.7027 - val_mean_absolute_error: 4.7027 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7016 - mean_absolute_error: 4.7016 - val_loss: 4.7020 - val_mean_absolute_error: 4.7020 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7009 - mean_absolute_error: 4.7009 - val_loss: 4.7013 - val_mean_absolute_error: 4.7013 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 4.7002 - mean_absolute_error: 4.7002 - val_loss: 4.7006 - val_mean_absolute_error: 4.7006 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6995 - mean_absolute_error: 4.6995 - val_loss: 4.6999 - val_mean_absolute_error: 4.6999 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6988 - mean_absolute_error: 4.6988 - val_loss: 4.6992 - val_mean_absolute_error: 4.6992 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6981 - mean_absolute_error: 4.6981 - val_loss: 4.6984 - val_mean_absolute_error: 4.6984 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6974 - mean_absolute_error: 4.6974 - val_loss: 4.6977 - val_mean_absolute_error: 4.6977 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6967 - mean_absolute_error: 4.6967 - val_loss: 4.6970 - val_mean_absolute_error: 4.6970 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6960 - mean_absolute_error: 4.6960 - val_loss: 4.6963 - val_mean_absolute_error: 4.6963 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6953 - mean_absolute_error: 4.6953 - val_loss: 4.6957 - val_mean_absolute_error: 4.6957 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6946 - mean_absolute_error: 4.6946 - val_loss: 4.6950 - val_mean_absolute_error: 4.6950 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6940 - mean_absolute_error: 4.6940 - val_loss: 4.6943 - val_mean_absolute_error: 4.6943 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6933 - mean_absolute_error: 4.6933 - val_loss: 4.6936 - val_mean_absolute_error: 4.6936 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6926 - mean_absolute_error: 4.6926 - val_loss: 4.6929 - val_mean_absolute_error: 4.6929 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6919 - mean_absolute_error: 4.6919 - val_loss: 4.6922 - val_mean_absolute_error: 4.6922 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6913 - mean_absolute_error: 4.6913 - val_loss: 4.6916 - val_mean_absolute_error: 4.6916 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6906 - mean_absolute_error: 4.6906 - val_loss: 4.6909 - val_mean_absolute_error: 4.6909 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6899 - mean_absolute_error: 4.6899 - val_loss: 4.6902 - val_mean_absolute_error: 4.6902 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6893 - mean_absolute_error: 4.6893 - val_loss: 4.6895 - val_mean_absolute_error: 4.6895 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6886 - mean_absolute_error: 4.6886 - val_loss: 4.6889 - val_mean_absolute_error: 4.6889 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6880 - mean_absolute_error: 4.6880 - val_loss: 4.6882 - val_mean_absolute_error: 4.6882 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6873 - mean_absolute_error: 4.6873 - val_loss: 4.6876 - val_mean_absolute_error: 4.6876 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6867 - mean_absolute_error: 4.6867 - val_loss: 4.6869 - val_mean_absolute_error: 4.6869 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6860 - mean_absolute_error: 4.6860 - val_loss: 4.6863 - val_mean_absolute_error: 4.6863 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6854 - mean_absolute_error: 4.6854 - val_loss: 4.6856 - val_mean_absolute_error: 4.6856 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6847 - mean_absolute_error: 4.6847 - val_loss: 4.6850 - val_mean_absolute_error: 4.6850 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6841 - mean_absolute_error: 4.6841 - val_loss: 4.6843 - val_mean_absolute_error: 4.6843 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6835 - mean_absolute_error: 4.6835 - val_loss: 4.6837 - val_mean_absolute_error: 4.6837 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6828 - mean_absolute_error: 4.6828 - val_loss: 4.6830 - val_mean_absolute_error: 4.6830 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6822 - mean_absolute_error: 4.6822 - val_loss: 4.6824 - val_mean_absolute_error: 4.6824 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6816 - mean_absolute_error: 4.6816 - val_loss: 4.6818 - val_mean_absolute_error: 4.6818 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6809 - mean_absolute_error: 4.6809 - val_loss: 4.6811 - val_mean_absolute_error: 4.6811 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6803 - mean_absolute_error: 4.6803 - val_loss: 4.6805 - val_mean_absolute_error: 4.6805 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6797 - mean_absolute_error: 4.6797 - val_loss: 4.6799 - val_mean_absolute_error: 4.6799 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6791 - mean_absolute_error: 4.6791 - val_loss: 4.6793 - val_mean_absolute_error: 4.6793 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6785 - mean_absolute_error: 4.6785 - val_loss: 4.6787 - val_mean_absolute_error: 4.6787 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6779 - mean_absolute_error: 4.6779 - val_loss: 4.6780 - val_mean_absolute_error: 4.6780 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6772 - mean_absolute_error: 4.6772 - val_loss: 4.6774 - val_mean_absolute_error: 4.6774 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6766 - mean_absolute_error: 4.6766 - val_loss: 4.6768 - val_mean_absolute_error: 4.6768 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6760 - mean_absolute_error: 4.6760 - val_loss: 4.6762 - val_mean_absolute_error: 4.6762 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6754 - mean_absolute_error: 4.6754 - val_loss: 4.6756 - val_mean_absolute_error: 4.6756 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6748 - mean_absolute_error: 4.6748 - val_loss: 4.6750 - val_mean_absolute_error: 4.6750 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6742 - mean_absolute_error: 4.6742 - val_loss: 4.6744 - val_mean_absolute_error: 4.6744 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6736 - mean_absolute_error: 4.6736 - val_loss: 4.6738 - val_mean_absolute_error: 4.6738 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6730 - mean_absolute_error: 4.6730 - val_loss: 4.6732 - val_mean_absolute_error: 4.6732 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6725 - mean_absolute_error: 4.6725 - val_loss: 4.6726 - val_mean_absolute_error: 4.6726 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6719 - mean_absolute_error: 4.6719 - val_loss: 4.6720 - val_mean_absolute_error: 4.6720 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6713 - mean_absolute_error: 4.6713 - val_loss: 4.6714 - val_mean_absolute_error: 4.6714 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6707 - mean_absolute_error: 4.6707 - val_loss: 4.6708 - val_mean_absolute_error: 4.6708 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6701 - mean_absolute_error: 4.6701 - val_loss: 4.6703 - val_mean_absolute_error: 4.6703 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6695 - mean_absolute_error: 4.6695 - val_loss: 4.6697 - val_mean_absolute_error: 4.6697 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6690 - mean_absolute_error: 4.6690 - val_loss: 4.6691 - val_mean_absolute_error: 4.6691 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6684 - mean_absolute_error: 4.6684 - val_loss: 4.6685 - val_mean_absolute_error: 4.6685 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6678 - mean_absolute_error: 4.6678 - val_loss: 4.6679 - val_mean_absolute_error: 4.6679 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6673 - mean_absolute_error: 4.6673 - val_loss: 4.6674 - val_mean_absolute_error: 4.6674 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6667 - mean_absolute_error: 4.6667 - val_loss: 4.6668 - val_mean_absolute_error: 4.6668 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6661 - mean_absolute_error: 4.6661 - val_loss: 4.6662 - val_mean_absolute_error: 4.6662 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6656 - mean_absolute_error: 4.6656 - val_loss: 4.6657 - val_mean_absolute_error: 4.6657 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6650 - mean_absolute_error: 4.6650 - val_loss: 4.6651 - val_mean_absolute_error: 4.6651 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6644 - mean_absolute_error: 4.6644 - val_loss: 4.6645 - val_mean_absolute_error: 4.6645 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6639 - mean_absolute_error: 4.6639 - val_loss: 4.6640 - val_mean_absolute_error: 4.6640 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6633 - mean_absolute_error: 4.6633 - val_loss: 4.6634 - val_mean_absolute_error: 4.6634 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6628 - mean_absolute_error: 4.6628 - val_loss: 4.6629 - val_mean_absolute_error: 4.6629 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6622 - mean_absolute_error: 4.6622 - val_loss: 4.6623 - val_mean_absolute_error: 4.6623 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6617 - mean_absolute_error: 4.6617 - val_loss: 4.6617 - val_mean_absolute_error: 4.6617 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6611 - mean_absolute_error: 4.6611 - val_loss: 4.6612 - val_mean_absolute_error: 4.6612 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6606 - mean_absolute_error: 4.6606 - val_loss: 4.6606 - val_mean_absolute_error: 4.6606 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6600 - mean_absolute_error: 4.6600 - val_loss: 4.6601 - val_mean_absolute_error: 4.6601 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6595 - mean_absolute_error: 4.6595 - val_loss: 4.6595 - val_mean_absolute_error: 4.6595 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6590 - mean_absolute_error: 4.6590 - val_loss: 4.6590 - val_mean_absolute_error: 4.6590 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6584 - mean_absolute_error: 4.6584 - val_loss: 4.6585 - val_mean_absolute_error: 4.6585 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6579 - mean_absolute_error: 4.6579 - val_loss: 4.6579 - val_mean_absolute_error: 4.6579 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6574 - mean_absolute_error: 4.6574 - val_loss: 4.6574 - val_mean_absolute_error: 4.6574 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6568 - mean_absolute_error: 4.6568 - val_loss: 4.6569 - val_mean_absolute_error: 4.6569 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6563 - mean_absolute_error: 4.6563 - val_loss: 4.6563 - val_mean_absolute_error: 4.6563 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6558 - mean_absolute_error: 4.6558 - val_loss: 4.6558 - val_mean_absolute_error: 4.6558 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6552 - mean_absolute_error: 4.6552 - val_loss: 4.6553 - val_mean_absolute_error: 4.6553 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6547 - mean_absolute_error: 4.6547 - val_loss: 4.6547 - val_mean_absolute_error: 4.6547 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6542 - mean_absolute_error: 4.6542 - val_loss: 4.6542 - val_mean_absolute_error: 4.6542 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6537 - mean_absolute_error: 4.6537 - val_loss: 4.6537 - val_mean_absolute_error: 4.6537 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6532 - mean_absolute_error: 4.6532 - val_loss: 4.6532 - val_mean_absolute_error: 4.6532 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6526 - mean_absolute_error: 4.6526 - val_loss: 4.6526 - val_mean_absolute_error: 4.6526 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6521 - mean_absolute_error: 4.6521 - val_loss: 4.6521 - val_mean_absolute_error: 4.6521 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6516 - mean_absolute_error: 4.6516 - val_loss: 4.6516 - val_mean_absolute_error: 4.6516 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6511 - mean_absolute_error: 4.6511 - val_loss: 4.6511 - val_mean_absolute_error: 4.6511 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6506 - mean_absolute_error: 4.6506 - val_loss: 4.6506 - val_mean_absolute_error: 4.6506 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6501 - mean_absolute_error: 4.6501 - val_loss: 4.6501 - val_mean_absolute_error: 4.6501 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6496 - mean_absolute_error: 4.6496 - val_loss: 4.6496 - val_mean_absolute_error: 4.6496 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6491 - mean_absolute_error: 4.6491 - val_loss: 4.6490 - val_mean_absolute_error: 4.6490 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6486 - mean_absolute_error: 4.6486 - val_loss: 4.6485 - val_mean_absolute_error: 4.6485 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6481 - mean_absolute_error: 4.6481 - val_loss: 4.6480 - val_mean_absolute_error: 4.6480 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6476 - mean_absolute_error: 4.6476 - val_loss: 4.6475 - val_mean_absolute_error: 4.6475 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6471 - mean_absolute_error: 4.6471 - val_loss: 4.6470 - val_mean_absolute_error: 4.6470 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6466 - mean_absolute_error: 4.6466 - val_loss: 4.6465 - val_mean_absolute_error: 4.6465 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6461 - mean_absolute_error: 4.6461 - val_loss: 4.6460 - val_mean_absolute_error: 4.6460 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6456 - mean_absolute_error: 4.6456 - val_loss: 4.6455 - val_mean_absolute_error: 4.6455 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6451 - mean_absolute_error: 4.6451 - val_loss: 4.6450 - val_mean_absolute_error: 4.6450 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6446 - mean_absolute_error: 4.6446 - val_loss: 4.6445 - val_mean_absolute_error: 4.6445 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6441 - mean_absolute_error: 4.6441 - val_loss: 4.6440 - val_mean_absolute_error: 4.6440 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6436 - mean_absolute_error: 4.6436 - val_loss: 4.6436 - val_mean_absolute_error: 4.6436 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6431 - mean_absolute_error: 4.6431 - val_loss: 4.6431 - val_mean_absolute_error: 4.6431 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6427 - mean_absolute_error: 4.6427 - val_loss: 4.6426 - val_mean_absolute_error: 4.6426 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6422 - mean_absolute_error: 4.6422 - val_loss: 4.6421 - val_mean_absolute_error: 4.6421 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6417 - mean_absolute_error: 4.6417 - val_loss: 4.6416 - val_mean_absolute_error: 4.6416 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6412 - mean_absolute_error: 4.6412 - val_loss: 4.6411 - val_mean_absolute_error: 4.6411 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6407 - mean_absolute_error: 4.6407 - val_loss: 4.6406 - val_mean_absolute_error: 4.6406 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6403 - mean_absolute_error: 4.6403 - val_loss: 4.6402 - val_mean_absolute_error: 4.6402 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6398 - mean_absolute_error: 4.6398 - val_loss: 4.6397 - val_mean_absolute_error: 4.6397 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6393 - mean_absolute_error: 4.6393 - val_loss: 4.6392 - val_mean_absolute_error: 4.6392 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6388 - mean_absolute_error: 4.6388 - val_loss: 4.6387 - val_mean_absolute_error: 4.6387 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6384 - mean_absolute_error: 4.6384 - val_loss: 4.6383 - val_mean_absolute_error: 4.6383 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6379 - mean_absolute_error: 4.6379 - val_loss: 4.6378 - val_mean_absolute_error: 4.6378 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6374 - mean_absolute_error: 4.6374 - val_loss: 4.6373 - val_mean_absolute_error: 4.6373 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6370 - mean_absolute_error: 4.6370 - val_loss: 4.6368 - val_mean_absolute_error: 4.6368 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6365 - mean_absolute_error: 4.6365 - val_loss: 4.6364 - val_mean_absolute_error: 4.6364 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6360 - mean_absolute_error: 4.6360 - val_loss: 4.6359 - val_mean_absolute_error: 4.6359 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6356 - mean_absolute_error: 4.6356 - val_loss: 4.6354 - val_mean_absolute_error: 4.6354 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6351 - mean_absolute_error: 4.6351 - val_loss: 4.6350 - val_mean_absolute_error: 4.6350 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6347 - mean_absolute_error: 4.6347 - val_loss: 4.6345 - val_mean_absolute_error: 4.6345 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6342 - mean_absolute_error: 4.6342 - val_loss: 4.6340 - val_mean_absolute_error: 4.6340 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6337 - mean_absolute_error: 4.6337 - val_loss: 4.6336 - val_mean_absolute_error: 4.6336 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6333 - mean_absolute_error: 4.6333 - val_loss: 4.6331 - val_mean_absolute_error: 4.6331 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6328 - mean_absolute_error: 4.6328 - val_loss: 4.6327 - val_mean_absolute_error: 4.6327 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6324 - mean_absolute_error: 4.6324 - val_loss: 4.6322 - val_mean_absolute_error: 4.6322 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6319 - mean_absolute_error: 4.6319 - val_loss: 4.6318 - val_mean_absolute_error: 4.6318 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6315 - mean_absolute_error: 4.6315 - val_loss: 4.6313 - val_mean_absolute_error: 4.6313 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6310 - mean_absolute_error: 4.6310 - val_loss: 4.6309 - val_mean_absolute_error: 4.6309 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6306 - mean_absolute_error: 4.6306 - val_loss: 4.6304 - val_mean_absolute_error: 4.6304 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6301 - mean_absolute_error: 4.6301 - val_loss: 4.6300 - val_mean_absolute_error: 4.6300 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6297 - mean_absolute_error: 4.6297 - val_loss: 4.6295 - val_mean_absolute_error: 4.6295 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6292 - mean_absolute_error: 4.6292 - val_loss: 4.6291 - val_mean_absolute_error: 4.6291 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6288 - mean_absolute_error: 4.6288 - val_loss: 4.6286 - val_mean_absolute_error: 4.6286 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6284 - mean_absolute_error: 4.6284 - val_loss: 4.6282 - val_mean_absolute_error: 4.6282 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6279 - mean_absolute_error: 4.6279 - val_loss: 4.6277 - val_mean_absolute_error: 4.6277 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6275 - mean_absolute_error: 4.6275 - val_loss: 4.6273 - val_mean_absolute_error: 4.6273 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6270 - mean_absolute_error: 4.6270 - val_loss: 4.6268 - val_mean_absolute_error: 4.6268 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6266 - mean_absolute_error: 4.6266 - val_loss: 4.6264 - val_mean_absolute_error: 4.6264 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6262 - mean_absolute_error: 4.6262 - val_loss: 4.6260 - val_mean_absolute_error: 4.6260 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6257 - mean_absolute_error: 4.6257 - val_loss: 4.6255 - val_mean_absolute_error: 4.6255 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6253 - mean_absolute_error: 4.6253 - val_loss: 4.6251 - val_mean_absolute_error: 4.6251 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6249 - mean_absolute_error: 4.6249 - val_loss: 4.6247 - val_mean_absolute_error: 4.6247 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6244 - mean_absolute_error: 4.6244 - val_loss: 4.6242 - val_mean_absolute_error: 4.6242 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6240 - mean_absolute_error: 4.6240 - val_loss: 4.6238 - val_mean_absolute_error: 4.6238 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6236 - mean_absolute_error: 4.6236 - val_loss: 4.6234 - val_mean_absolute_error: 4.6234 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6232 - mean_absolute_error: 4.6232 - val_loss: 4.6229 - val_mean_absolute_error: 4.6229 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6227 - mean_absolute_error: 4.6227 - val_loss: 4.6225 - val_mean_absolute_error: 4.6225 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6223 - mean_absolute_error: 4.6223 - val_loss: 4.6221 - val_mean_absolute_error: 4.6221 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6219 - mean_absolute_error: 4.6219 - val_loss: 4.6217 - val_mean_absolute_error: 4.6217 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6215 - mean_absolute_error: 4.6215 - val_loss: 4.6212 - val_mean_absolute_error: 4.6212 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6210 - mean_absolute_error: 4.6210 - val_loss: 4.6208 - val_mean_absolute_error: 4.6208 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6206 - mean_absolute_error: 4.6206 - val_loss: 4.6204 - val_mean_absolute_error: 4.6204 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6202 - mean_absolute_error: 4.6202 - val_loss: 4.6200 - val_mean_absolute_error: 4.6200 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6198 - mean_absolute_error: 4.6198 - val_loss: 4.6195 - val_mean_absolute_error: 4.6195 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6194 - mean_absolute_error: 4.6194 - val_loss: 4.6191 - val_mean_absolute_error: 4.6191 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6190 - mean_absolute_error: 4.6190 - val_loss: 4.6187 - val_mean_absolute_error: 4.6187 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6185 - mean_absolute_error: 4.6185 - val_loss: 4.6183 - val_mean_absolute_error: 4.6183 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6181 - mean_absolute_error: 4.6181 - val_loss: 4.6179 - val_mean_absolute_error: 4.6179 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6177 - mean_absolute_error: 4.6177 - val_loss: 4.6175 - val_mean_absolute_error: 4.6175 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6173 - mean_absolute_error: 4.6173 - val_loss: 4.6170 - val_mean_absolute_error: 4.6170 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6169 - mean_absolute_error: 4.6169 - val_loss: 4.6166 - val_mean_absolute_error: 4.6166 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6165 - mean_absolute_error: 4.6165 - val_loss: 4.6162 - val_mean_absolute_error: 4.6162 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6161 - mean_absolute_error: 4.6161 - val_loss: 4.6158 - val_mean_absolute_error: 4.6158 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6157 - mean_absolute_error: 4.6157 - val_loss: 4.6154 - val_mean_absolute_error: 4.6154 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6153 - mean_absolute_error: 4.6153 - val_loss: 4.6150 - val_mean_absolute_error: 4.6150 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6149 - mean_absolute_error: 4.6149 - val_loss: 4.6146 - val_mean_absolute_error: 4.6146 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6145 - mean_absolute_error: 4.6145 - val_loss: 4.6142 - val_mean_absolute_error: 4.6142 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6141 - mean_absolute_error: 4.6141 - val_loss: 4.6138 - val_mean_absolute_error: 4.6138 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6137 - mean_absolute_error: 4.6137 - val_loss: 4.6134 - val_mean_absolute_error: 4.6134 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6133 - mean_absolute_error: 4.6133 - val_loss: 4.6130 - val_mean_absolute_error: 4.6130 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6129 - mean_absolute_error: 4.6129 - val_loss: 4.6126 - val_mean_absolute_error: 4.6126 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6125 - mean_absolute_error: 4.6125 - val_loss: 4.6122 - val_mean_absolute_error: 4.6122 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6121 - mean_absolute_error: 4.6121 - val_loss: 4.6118 - val_mean_absolute_error: 4.6118 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6117 - mean_absolute_error: 4.6117 - val_loss: 4.6114 - val_mean_absolute_error: 4.6114 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6113 - mean_absolute_error: 4.6113 - val_loss: 4.6110 - val_mean_absolute_error: 4.6110 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6109 - mean_absolute_error: 4.6109 - val_loss: 4.6106 - val_mean_absolute_error: 4.6106 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6105 - mean_absolute_error: 4.6105 - val_loss: 4.6102 - val_mean_absolute_error: 4.6102 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6101 - mean_absolute_error: 4.6101 - val_loss: 4.6098 - val_mean_absolute_error: 4.6098 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6097 - mean_absolute_error: 4.6097 - val_loss: 4.6094 - val_mean_absolute_error: 4.6094 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6093 - mean_absolute_error: 4.6093 - val_loss: 4.6090 - val_mean_absolute_error: 4.6090 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6089 - mean_absolute_error: 4.6089 - val_loss: 4.6086 - val_mean_absolute_error: 4.6086 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6085 - mean_absolute_error: 4.6085 - val_loss: 4.6082 - val_mean_absolute_error: 4.6082 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6081 - mean_absolute_error: 4.6081 - val_loss: 4.6078 - val_mean_absolute_error: 4.6078 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6078 - mean_absolute_error: 4.6078 - val_loss: 4.6074 - val_mean_absolute_error: 4.6074 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6074 - mean_absolute_error: 4.6074 - val_loss: 4.6071 - val_mean_absolute_error: 4.6071 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6070 - mean_absolute_error: 4.6070 - val_loss: 4.6067 - val_mean_absolute_error: 4.6067 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6066 - mean_absolute_error: 4.6066 - val_loss: 4.6063 - val_mean_absolute_error: 4.6063 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6062 - mean_absolute_error: 4.6062 - val_loss: 4.6059 - val_mean_absolute_error: 4.6059 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6058 - mean_absolute_error: 4.6058 - val_loss: 4.6055 - val_mean_absolute_error: 4.6055 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6055 - mean_absolute_error: 4.6055 - val_loss: 4.6051 - val_mean_absolute_error: 4.6051 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6051 - mean_absolute_error: 4.6051 - val_loss: 4.6048 - val_mean_absolute_error: 4.6048 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6047 - mean_absolute_error: 4.6047 - val_loss: 4.6044 - val_mean_absolute_error: 4.6044 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6043 - mean_absolute_error: 4.6043 - val_loss: 4.6040 - val_mean_absolute_error: 4.6040 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6040 - mean_absolute_error: 4.6040 - val_loss: 4.6036 - val_mean_absolute_error: 4.6036 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6036 - mean_absolute_error: 4.6036 - val_loss: 4.6032 - val_mean_absolute_error: 4.6032 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6032 - mean_absolute_error: 4.6032 - val_loss: 4.6029 - val_mean_absolute_error: 4.6029 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6028 - mean_absolute_error: 4.6028 - val_loss: 4.6025 - val_mean_absolute_error: 4.6025 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6025 - mean_absolute_error: 4.6025 - val_loss: 4.6021 - val_mean_absolute_error: 4.6021 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6021 - mean_absolute_error: 4.6021 - val_loss: 4.6017 - val_mean_absolute_error: 4.6017 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6017 - mean_absolute_error: 4.6017 - val_loss: 4.6014 - val_mean_absolute_error: 4.6014 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6013 - mean_absolute_error: 4.6013 - val_loss: 4.6010 - val_mean_absolute_error: 4.6010 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6010 - mean_absolute_error: 4.6010 - val_loss: 4.6006 - val_mean_absolute_error: 4.6006 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6006 - mean_absolute_error: 4.6006 - val_loss: 4.6002 - val_mean_absolute_error: 4.6002 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6002 - mean_absolute_error: 4.6002 - val_loss: 4.5999 - val_mean_absolute_error: 4.5999 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5999 - mean_absolute_error: 4.5999 - val_loss: 4.5995 - val_mean_absolute_error: 4.5995 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5995 - mean_absolute_error: 4.5995 - val_loss: 4.5991 - val_mean_absolute_error: 4.5991 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5991 - mean_absolute_error: 4.5991 - val_loss: 4.5988 - val_mean_absolute_error: 4.5988 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5988 - mean_absolute_error: 4.5988 - val_loss: 4.5984 - val_mean_absolute_error: 4.5984 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5984 - mean_absolute_error: 4.5984 - val_loss: 4.5980 - val_mean_absolute_error: 4.5980 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5981 - mean_absolute_error: 4.5981 - val_loss: 4.5977 - val_mean_absolute_error: 4.5977 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5977 - mean_absolute_error: 4.5977 - val_loss: 4.5973 - val_mean_absolute_error: 4.5973 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5973 - mean_absolute_error: 4.5973 - val_loss: 4.5970 - val_mean_absolute_error: 4.5970 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5970 - mean_absolute_error: 4.5970 - val_loss: 4.5966 - val_mean_absolute_error: 4.5966 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5966 - mean_absolute_error: 4.5966 - val_loss: 4.5962 - val_mean_absolute_error: 4.5962 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5963 - mean_absolute_error: 4.5963 - val_loss: 4.5959 - val_mean_absolute_error: 4.5959 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5959 - mean_absolute_error: 4.5959 - val_loss: 4.5955 - val_mean_absolute_error: 4.5955 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5955 - mean_absolute_error: 4.5955 - val_loss: 4.5951 - val_mean_absolute_error: 4.5951 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5952 - mean_absolute_error: 4.5952 - val_loss: 4.5948 - val_mean_absolute_error: 4.5948 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5948 - mean_absolute_error: 4.5948 - val_loss: 4.5944 - val_mean_absolute_error: 4.5944 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5945 - mean_absolute_error: 4.5945 - val_loss: 4.5941 - val_mean_absolute_error: 4.5941 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5941 - mean_absolute_error: 4.5941 - val_loss: 4.5937 - val_mean_absolute_error: 4.5937 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5938 - mean_absolute_error: 4.5938 - val_loss: 4.5934 - val_mean_absolute_error: 4.5934 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5934 - mean_absolute_error: 4.5934 - val_loss: 4.5930 - val_mean_absolute_error: 4.5930 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5931 - mean_absolute_error: 4.5931 - val_loss: 4.5927 - val_mean_absolute_error: 4.5927 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5927 - mean_absolute_error: 4.5927 - val_loss: 4.5923 - val_mean_absolute_error: 4.5923 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5924 - mean_absolute_error: 4.5924 - val_loss: 4.5919 - val_mean_absolute_error: 4.5919 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5920 - mean_absolute_error: 4.5920 - val_loss: 4.5916 - val_mean_absolute_error: 4.5916 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5917 - mean_absolute_error: 4.5917 - val_loss: 4.5912 - val_mean_absolute_error: 4.5912 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5913 - mean_absolute_error: 4.5913 - val_loss: 4.5909 - val_mean_absolute_error: 4.5909 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5910 - mean_absolute_error: 4.5910 - val_loss: 4.5906 - val_mean_absolute_error: 4.5906 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5906 - mean_absolute_error: 4.5906 - val_loss: 4.5902 - val_mean_absolute_error: 4.5902 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5903 - mean_absolute_error: 4.5903 - val_loss: 4.5899 - val_mean_absolute_error: 4.5899 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5899 - mean_absolute_error: 4.5899 - val_loss: 4.5895 - val_mean_absolute_error: 4.5895 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5896 - mean_absolute_error: 4.5896 - val_loss: 4.5892 - val_mean_absolute_error: 4.5892 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5893 - mean_absolute_error: 4.5893 - val_loss: 4.5888 - val_mean_absolute_error: 4.5888 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5889 - mean_absolute_error: 4.5889 - val_loss: 4.5885 - val_mean_absolute_error: 4.5885 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5886 - mean_absolute_error: 4.5886 - val_loss: 4.5881 - val_mean_absolute_error: 4.5881 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5882 - mean_absolute_error: 4.5882 - val_loss: 4.5878 - val_mean_absolute_error: 4.5878 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5879 - mean_absolute_error: 4.5879 - val_loss: 4.5875 - val_mean_absolute_error: 4.5875 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5876 - mean_absolute_error: 4.5876 - val_loss: 4.5871 - val_mean_absolute_error: 4.5871 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5872 - mean_absolute_error: 4.5872 - val_loss: 4.5868 - val_mean_absolute_error: 4.5868 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5869 - mean_absolute_error: 4.5869 - val_loss: 4.5864 - val_mean_absolute_error: 4.5864 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5865 - mean_absolute_error: 4.5865 - val_loss: 4.5861 - val_mean_absolute_error: 4.5861 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5862 - mean_absolute_error: 4.5862 - val_loss: 4.5858 - val_mean_absolute_error: 4.5858 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5859 - mean_absolute_error: 4.5859 - val_loss: 4.5854 - val_mean_absolute_error: 4.5854 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5855 - mean_absolute_error: 4.5855 - val_loss: 4.5851 - val_mean_absolute_error: 4.5851 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5852 - mean_absolute_error: 4.5852 - val_loss: 4.5847 - val_mean_absolute_error: 4.5847 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5849 - mean_absolute_error: 4.5849 - val_loss: 4.5844 - val_mean_absolute_error: 4.5844 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5845 - mean_absolute_error: 4.5845 - val_loss: 4.5841 - val_mean_absolute_error: 4.5841 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5842 - mean_absolute_error: 4.5842 - val_loss: 4.5837 - val_mean_absolute_error: 4.5837 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5839 - mean_absolute_error: 4.5839 - val_loss: 4.5834 - val_mean_absolute_error: 4.5834 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5835 - mean_absolute_error: 4.5835 - val_loss: 4.5831 - val_mean_absolute_error: 4.5831 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5832 - mean_absolute_error: 4.5832 - val_loss: 4.5827 - val_mean_absolute_error: 4.5827 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5829 - mean_absolute_error: 4.5829 - val_loss: 4.5824 - val_mean_absolute_error: 4.5824 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5826 - mean_absolute_error: 4.5826 - val_loss: 4.5821 - val_mean_absolute_error: 4.5821 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5822 - mean_absolute_error: 4.5822 - val_loss: 4.5818 - val_mean_absolute_error: 4.5818 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5819 - mean_absolute_error: 4.5819 - val_loss: 4.5814 - val_mean_absolute_error: 4.5814 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5816 - mean_absolute_error: 4.5816 - val_loss: 4.5811 - val_mean_absolute_error: 4.5811 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5812 - mean_absolute_error: 4.5812 - val_loss: 4.5808 - val_mean_absolute_error: 4.5808 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5809 - mean_absolute_error: 4.5809 - val_loss: 4.5804 - val_mean_absolute_error: 4.5804 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5806 - mean_absolute_error: 4.5806 - val_loss: 4.5801 - val_mean_absolute_error: 4.5801 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5803 - mean_absolute_error: 4.5803 - val_loss: 4.5798 - val_mean_absolute_error: 4.5798 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5799 - mean_absolute_error: 4.5799 - val_loss: 4.5795 - val_mean_absolute_error: 4.5795 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5796 - mean_absolute_error: 4.5796 - val_loss: 4.5791 - val_mean_absolute_error: 4.5791 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5793 - mean_absolute_error: 4.5793 - val_loss: 4.5788 - val_mean_absolute_error: 4.5788 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5790 - mean_absolute_error: 4.5790 - val_loss: 4.5785 - val_mean_absolute_error: 4.5785 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5787 - mean_absolute_error: 4.5787 - val_loss: 4.5782 - val_mean_absolute_error: 4.5782 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5783 - mean_absolute_error: 4.5783 - val_loss: 4.5778 - val_mean_absolute_error: 4.5778 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5780 - mean_absolute_error: 4.5780 - val_loss: 4.5775 - val_mean_absolute_error: 4.5775 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5777 - mean_absolute_error: 4.5777 - val_loss: 4.5772 - val_mean_absolute_error: 4.5772 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5774 - mean_absolute_error: 4.5774 - val_loss: 4.5769 - val_mean_absolute_error: 4.5769 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5771 - mean_absolute_error: 4.5771 - val_loss: 4.5766 - val_mean_absolute_error: 4.5766 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5767 - mean_absolute_error: 4.5767 - val_loss: 4.5762 - val_mean_absolute_error: 4.5762 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5764 - mean_absolute_error: 4.5764 - val_loss: 4.5759 - val_mean_absolute_error: 4.5759 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5761 - mean_absolute_error: 4.5761 - val_loss: 4.5756 - val_mean_absolute_error: 4.5756 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5758 - mean_absolute_error: 4.5758 - val_loss: 4.5753 - val_mean_absolute_error: 4.5753 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5755 - mean_absolute_error: 4.5755 - val_loss: 4.5750 - val_mean_absolute_error: 4.5750 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5752 - mean_absolute_error: 4.5752 - val_loss: 4.5747 - val_mean_absolute_error: 4.5747 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5749 - mean_absolute_error: 4.5749 - val_loss: 4.5744 - val_mean_absolute_error: 4.5744 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5745 - mean_absolute_error: 4.5745 - val_loss: 4.5740 - val_mean_absolute_error: 4.5740 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5742 - mean_absolute_error: 4.5742 - val_loss: 4.5737 - val_mean_absolute_error: 4.5737 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5739 - mean_absolute_error: 4.5739 - val_loss: 4.5734 - val_mean_absolute_error: 4.5734 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5736 - mean_absolute_error: 4.5736 - val_loss: 4.5731 - val_mean_absolute_error: 4.5731 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5733 - mean_absolute_error: 4.5733 - val_loss: 4.5728 - val_mean_absolute_error: 4.5728 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5730 - mean_absolute_error: 4.5730 - val_loss: 4.5725 - val_mean_absolute_error: 4.5725 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5727 - mean_absolute_error: 4.5727 - val_loss: 4.5722 - val_mean_absolute_error: 4.5722 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5724 - mean_absolute_error: 4.5724 - val_loss: 4.5719 - val_mean_absolute_error: 4.5719 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5721 - mean_absolute_error: 4.5721 - val_loss: 4.5716 - val_mean_absolute_error: 4.5716 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5718 - mean_absolute_error: 4.5718 - val_loss: 4.5712 - val_mean_absolute_error: 4.5712 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5715 - mean_absolute_error: 4.5715 - val_loss: 4.5709 - val_mean_absolute_error: 4.5709 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5712 - mean_absolute_error: 4.5712 - val_loss: 4.5706 - val_mean_absolute_error: 4.5706 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5708 - mean_absolute_error: 4.5708 - val_loss: 4.5703 - val_mean_absolute_error: 4.5703 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5705 - mean_absolute_error: 4.5705 - val_loss: 4.5700 - val_mean_absolute_error: 4.5700 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5702 - mean_absolute_error: 4.5702 - val_loss: 4.5697 - val_mean_absolute_error: 4.5697 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5699 - mean_absolute_error: 4.5699 - val_loss: 4.5694 - val_mean_absolute_error: 4.5694 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5696 - mean_absolute_error: 4.5696 - val_loss: 4.5691 - val_mean_absolute_error: 4.5691 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5693 - mean_absolute_error: 4.5693 - val_loss: 4.5688 - val_mean_absolute_error: 4.5688 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5690 - mean_absolute_error: 4.5690 - val_loss: 4.5685 - val_mean_absolute_error: 4.5685 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5687 - mean_absolute_error: 4.5687 - val_loss: 4.5682 - val_mean_absolute_error: 4.5682 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5684 - mean_absolute_error: 4.5684 - val_loss: 4.5679 - val_mean_absolute_error: 4.5679 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5681 - mean_absolute_error: 4.5681 - val_loss: 4.5676 - val_mean_absolute_error: 4.5676 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5678 - mean_absolute_error: 4.5678 - val_loss: 4.5673 - val_mean_absolute_error: 4.5673 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5675 - mean_absolute_error: 4.5675 - val_loss: 4.5670 - val_mean_absolute_error: 4.5670 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5672 - mean_absolute_error: 4.5672 - val_loss: 4.5667 - val_mean_absolute_error: 4.5667 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5669 - mean_absolute_error: 4.5669 - val_loss: 4.5664 - val_mean_absolute_error: 4.5664 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5666 - mean_absolute_error: 4.5666 - val_loss: 4.5661 - val_mean_absolute_error: 4.5661 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5663 - mean_absolute_error: 4.5663 - val_loss: 4.5658 - val_mean_absolute_error: 4.5658 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5660 - mean_absolute_error: 4.5660 - val_loss: 4.5655 - val_mean_absolute_error: 4.5655 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5657 - mean_absolute_error: 4.5657 - val_loss: 4.5652 - val_mean_absolute_error: 4.5652 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5654 - mean_absolute_error: 4.5654 - val_loss: 4.5649 - val_mean_absolute_error: 4.5649 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 2.1285 - mean_absolute_error: 2.1285 - val_loss: 0.9126 - val_mean_absolute_error: 0.9126 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6505 - mean_absolute_error: 0.6505 - val_loss: 0.6024 - val_mean_absolute_error: 0.6024 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5662 - mean_absolute_error: 0.5662 - val_loss: 0.5362 - val_mean_absolute_error: 0.5362 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5658 - mean_absolute_error: 0.5658 - val_loss: 0.6633 - val_mean_absolute_error: 0.6633 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5811 - mean_absolute_error: 0.5811 - val_loss: 0.6044 - val_mean_absolute_error: 0.6044 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5253 - mean_absolute_error: 0.5253 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5153 - val_mean_absolute_error: 0.5153 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5069 - mean_absolute_error: 0.5069 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5003 - mean_absolute_error: 0.5003 - val_loss: 0.5262 - val_mean_absolute_error: 0.5262 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5093 - mean_absolute_error: 0.5093 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5081 - mean_absolute_error: 0.5081 - val_loss: 0.5288 - val_mean_absolute_error: 0.5288 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5015 - mean_absolute_error: 0.5015 - val_loss: 0.5578 - val_mean_absolute_error: 0.5578 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5016 - mean_absolute_error: 0.5016 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5060 - mean_absolute_error: 0.5060 - val_loss: 0.5538 - val_mean_absolute_error: 0.5538 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5082 - mean_absolute_error: 0.5082 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4954 - mean_absolute_error: 0.4954 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5355 - mean_absolute_error: 0.5355 - val_loss: 0.5288 - val_mean_absolute_error: 0.5288 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5265 - mean_absolute_error: 0.5265 - val_loss: 0.5191 - val_mean_absolute_error: 0.5191 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5128 - mean_absolute_error: 0.5128 - val_loss: 0.5520 - val_mean_absolute_error: 0.5520 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5465 - val_mean_absolute_error: 0.5465 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5774 - val_mean_absolute_error: 0.5774 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5397 - mean_absolute_error: 0.5397 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5109 - mean_absolute_error: 0.5109 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4813 - mean_absolute_error: 0.4813 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4785 - mean_absolute_error: 0.4785 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mean_absolute_error: 0.4843 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5694 - val_mean_absolute_error: 0.5694 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5179 - val_mean_absolute_error: 0.5179 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4940 - mean_absolute_error: 0.4940 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5203 - val_mean_absolute_error: 0.5203 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.4797 - val_mean_absolute_error: 0.4797 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5085 - val_mean_absolute_error: 0.5085 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4525 - mean_absolute_error: 0.4525 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5495 - val_mean_absolute_error: 0.5495 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4628 - mean_absolute_error: 0.4628 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4577 - mean_absolute_error: 0.4577 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4495 - mean_absolute_error: 0.4495 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4607 - mean_absolute_error: 0.4607 - val_loss: 0.4837 - val_mean_absolute_error: 0.4837 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.4881 - val_mean_absolute_error: 0.4881 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4818 - val_mean_absolute_error: 0.4818 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4519 - mean_absolute_error: 0.4519 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4481 - mean_absolute_error: 0.4481 - val_loss: 0.4807 - val_mean_absolute_error: 0.4807 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4502 - mean_absolute_error: 0.4502 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.5098 - val_mean_absolute_error: 0.5098 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4446 - mean_absolute_error: 0.4446 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4470 - mean_absolute_error: 0.4470 - val_loss: 0.4785 - val_mean_absolute_error: 0.4785 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4528 - mean_absolute_error: 0.4528 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4503 - mean_absolute_error: 0.4503 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4632 - mean_absolute_error: 0.4632 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4481 - mean_absolute_error: 0.4481 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4802 - val_mean_absolute_error: 0.4802 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4378 - mean_absolute_error: 0.4378 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4393 - mean_absolute_error: 0.4393 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.4743 - val_mean_absolute_error: 0.4743 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4460 - mean_absolute_error: 0.4460 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.4679 - val_mean_absolute_error: 0.4679 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4424 - mean_absolute_error: 0.4424 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4355 - mean_absolute_error: 0.4355 - val_loss: 0.4774 - val_mean_absolute_error: 0.4774 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4310 - mean_absolute_error: 0.4310 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4404 - mean_absolute_error: 0.4404 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.4837 - val_mean_absolute_error: 0.4837 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4769 - val_mean_absolute_error: 0.4769 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4396 - mean_absolute_error: 0.4396 - val_loss: 0.4768 - val_mean_absolute_error: 0.4768 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.4816 - val_mean_absolute_error: 0.4816 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4427 - mean_absolute_error: 0.4427 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4241 - mean_absolute_error: 0.4241 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4338 - mean_absolute_error: 0.4338 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4277 - mean_absolute_error: 0.4277 - val_loss: 0.4626 - val_mean_absolute_error: 0.4626 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4312 - mean_absolute_error: 0.4312 - val_loss: 0.4727 - val_mean_absolute_error: 0.4727 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4282 - mean_absolute_error: 0.4282 - val_loss: 0.4756 - val_mean_absolute_error: 0.4756 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.4805 - val_mean_absolute_error: 0.4805 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4301 - mean_absolute_error: 0.4301 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4467 - mean_absolute_error: 0.4467 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4331 - mean_absolute_error: 0.4331 - val_loss: 0.4875 - val_mean_absolute_error: 0.4875 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4373 - mean_absolute_error: 0.4373 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.4800 - val_mean_absolute_error: 0.4800 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4313 - mean_absolute_error: 0.4313 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mean_absolute_error: 0.4563 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4436 - mean_absolute_error: 0.4436 - val_loss: 0.4701 - val_mean_absolute_error: 0.4701 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4337 - mean_absolute_error: 0.4337 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4337 - mean_absolute_error: 0.4337 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4402 - mean_absolute_error: 0.4402 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.4836 - val_mean_absolute_error: 0.4836 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.4821 - val_mean_absolute_error: 0.4821 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4312 - mean_absolute_error: 0.4312 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4280 - mean_absolute_error: 0.4280 - val_loss: 0.4676 - val_mean_absolute_error: 0.4676 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.4649 - val_mean_absolute_error: 0.4649 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4269 - mean_absolute_error: 0.4269 - val_loss: 0.4813 - val_mean_absolute_error: 0.4813 Epoch 00136: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 2.5884 - mean_absolute_error: 2.5884 - val_loss: 1.7899 - val_mean_absolute_error: 1.7899 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 1.5318 - mean_absolute_error: 1.5318 - val_loss: 1.4880 - val_mean_absolute_error: 1.4880 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3572 - mean_absolute_error: 1.3572 - val_loss: 1.3910 - val_mean_absolute_error: 1.3910 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2816 - mean_absolute_error: 1.2816 - val_loss: 1.3293 - val_mean_absolute_error: 1.3293 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2298 - mean_absolute_error: 1.2298 - val_loss: 1.2849 - val_mean_absolute_error: 1.2849 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1920 - mean_absolute_error: 1.1920 - val_loss: 1.2496 - val_mean_absolute_error: 1.2496 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1626 - mean_absolute_error: 1.1626 - val_loss: 1.2232 - val_mean_absolute_error: 1.2232 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1389 - mean_absolute_error: 1.1389 - val_loss: 1.2017 - val_mean_absolute_error: 1.2017 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1184 - mean_absolute_error: 1.1184 - val_loss: 1.1825 - val_mean_absolute_error: 1.1825 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1017 - mean_absolute_error: 1.1017 - val_loss: 1.1657 - val_mean_absolute_error: 1.1657 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0869 - mean_absolute_error: 1.0869 - val_loss: 1.1511 - val_mean_absolute_error: 1.1511 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0735 - mean_absolute_error: 1.0735 - val_loss: 1.1369 - val_mean_absolute_error: 1.1369 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0612 - mean_absolute_error: 1.0612 - val_loss: 1.1249 - val_mean_absolute_error: 1.1249 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0497 - mean_absolute_error: 1.0497 - val_loss: 1.1132 - val_mean_absolute_error: 1.1132 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0389 - mean_absolute_error: 1.0389 - val_loss: 1.1031 - val_mean_absolute_error: 1.1031 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0296 - mean_absolute_error: 1.0296 - val_loss: 1.0935 - val_mean_absolute_error: 1.0935 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0208 - mean_absolute_error: 1.0208 - val_loss: 1.0856 - val_mean_absolute_error: 1.0856 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0124 - mean_absolute_error: 1.0124 - val_loss: 1.0772 - val_mean_absolute_error: 1.0772 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0049 - mean_absolute_error: 1.0049 - val_loss: 1.0699 - val_mean_absolute_error: 1.0699 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9977 - mean_absolute_error: 0.9977 - val_loss: 1.0633 - val_mean_absolute_error: 1.0633 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9911 - mean_absolute_error: 0.9911 - val_loss: 1.0561 - val_mean_absolute_error: 1.0561 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9850 - mean_absolute_error: 0.9850 - val_loss: 1.0502 - val_mean_absolute_error: 1.0502 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9788 - mean_absolute_error: 0.9788 - val_loss: 1.0441 - val_mean_absolute_error: 1.0441 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9732 - mean_absolute_error: 0.9732 - val_loss: 1.0387 - val_mean_absolute_error: 1.0387 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9680 - mean_absolute_error: 0.9680 - val_loss: 1.0334 - val_mean_absolute_error: 1.0334 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9631 - mean_absolute_error: 0.9631 - val_loss: 1.0286 - val_mean_absolute_error: 1.0286 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9583 - mean_absolute_error: 0.9583 - val_loss: 1.0245 - val_mean_absolute_error: 1.0245 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9537 - mean_absolute_error: 0.9537 - val_loss: 1.0200 - val_mean_absolute_error: 1.0200 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9496 - mean_absolute_error: 0.9496 - val_loss: 1.0156 - val_mean_absolute_error: 1.0156 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9456 - mean_absolute_error: 0.9456 - val_loss: 1.0117 - val_mean_absolute_error: 1.0117 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9415 - mean_absolute_error: 0.9415 - val_loss: 1.0079 - val_mean_absolute_error: 1.0079 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9379 - mean_absolute_error: 0.9379 - val_loss: 1.0042 - val_mean_absolute_error: 1.0042 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9342 - mean_absolute_error: 0.9342 - val_loss: 1.0006 - val_mean_absolute_error: 1.0006 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9310 - mean_absolute_error: 0.9310 - val_loss: 0.9971 - val_mean_absolute_error: 0.9971 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9274 - mean_absolute_error: 0.9274 - val_loss: 0.9937 - val_mean_absolute_error: 0.9937 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9242 - mean_absolute_error: 0.9242 - val_loss: 0.9907 - val_mean_absolute_error: 0.9907 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9211 - mean_absolute_error: 0.9211 - val_loss: 0.9876 - val_mean_absolute_error: 0.9876 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9181 - mean_absolute_error: 0.9181 - val_loss: 0.9845 - val_mean_absolute_error: 0.9845 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9153 - mean_absolute_error: 0.9153 - val_loss: 0.9817 - val_mean_absolute_error: 0.9817 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9125 - mean_absolute_error: 0.9125 - val_loss: 0.9791 - val_mean_absolute_error: 0.9791 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9097 - mean_absolute_error: 0.9097 - val_loss: 0.9761 - val_mean_absolute_error: 0.9761 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9071 - mean_absolute_error: 0.9071 - val_loss: 0.9734 - val_mean_absolute_error: 0.9734 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9047 - mean_absolute_error: 0.9047 - val_loss: 0.9711 - val_mean_absolute_error: 0.9711 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9021 - mean_absolute_error: 0.9021 - val_loss: 0.9686 - val_mean_absolute_error: 0.9686 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8998 - mean_absolute_error: 0.8998 - val_loss: 0.9662 - val_mean_absolute_error: 0.9662 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8975 - mean_absolute_error: 0.8975 - val_loss: 0.9639 - val_mean_absolute_error: 0.9639 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8954 - mean_absolute_error: 0.8954 - val_loss: 0.9617 - val_mean_absolute_error: 0.9617 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8931 - mean_absolute_error: 0.8931 - val_loss: 0.9590 - val_mean_absolute_error: 0.9590 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8910 - mean_absolute_error: 0.8910 - val_loss: 0.9568 - val_mean_absolute_error: 0.9568 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8890 - mean_absolute_error: 0.8890 - val_loss: 0.9547 - val_mean_absolute_error: 0.9547 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8870 - mean_absolute_error: 0.8870 - val_loss: 0.9524 - val_mean_absolute_error: 0.9524 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8850 - mean_absolute_error: 0.8850 - val_loss: 0.9506 - val_mean_absolute_error: 0.9506 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8831 - mean_absolute_error: 0.8831 - val_loss: 0.9483 - val_mean_absolute_error: 0.9483 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8813 - mean_absolute_error: 0.8813 - val_loss: 0.9468 - val_mean_absolute_error: 0.9468 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8793 - mean_absolute_error: 0.8793 - val_loss: 0.9449 - val_mean_absolute_error: 0.9449 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8776 - mean_absolute_error: 0.8776 - val_loss: 0.9427 - val_mean_absolute_error: 0.9427 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8758 - mean_absolute_error: 0.8758 - val_loss: 0.9411 - val_mean_absolute_error: 0.9411 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8742 - mean_absolute_error: 0.8742 - val_loss: 0.9395 - val_mean_absolute_error: 0.9395 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8725 - mean_absolute_error: 0.8725 - val_loss: 0.9378 - val_mean_absolute_error: 0.9378 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8709 - mean_absolute_error: 0.8709 - val_loss: 0.9359 - val_mean_absolute_error: 0.9359 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8693 - mean_absolute_error: 0.8693 - val_loss: 0.9342 - val_mean_absolute_error: 0.9342 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8677 - mean_absolute_error: 0.8677 - val_loss: 0.9325 - val_mean_absolute_error: 0.9325 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8662 - mean_absolute_error: 0.8662 - val_loss: 0.9311 - val_mean_absolute_error: 0.9311 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8647 - mean_absolute_error: 0.8647 - val_loss: 0.9297 - val_mean_absolute_error: 0.9297 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8633 - mean_absolute_error: 0.8633 - val_loss: 0.9281 - val_mean_absolute_error: 0.9281 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8618 - mean_absolute_error: 0.8618 - val_loss: 0.9266 - val_mean_absolute_error: 0.9266 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8604 - mean_absolute_error: 0.8604 - val_loss: 0.9254 - val_mean_absolute_error: 0.9254 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8591 - mean_absolute_error: 0.8591 - val_loss: 0.9238 - val_mean_absolute_error: 0.9238 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8577 - mean_absolute_error: 0.8577 - val_loss: 0.9224 - val_mean_absolute_error: 0.9224 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8564 - mean_absolute_error: 0.8564 - val_loss: 0.9210 - val_mean_absolute_error: 0.9210 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8552 - mean_absolute_error: 0.8552 - val_loss: 0.9197 - val_mean_absolute_error: 0.9197 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8538 - mean_absolute_error: 0.8538 - val_loss: 0.9182 - val_mean_absolute_error: 0.9182 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8526 - mean_absolute_error: 0.8526 - val_loss: 0.9170 - val_mean_absolute_error: 0.9170 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8514 - mean_absolute_error: 0.8514 - val_loss: 0.9158 - val_mean_absolute_error: 0.9158 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8503 - mean_absolute_error: 0.8503 - val_loss: 0.9146 - val_mean_absolute_error: 0.9146 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8490 - mean_absolute_error: 0.8490 - val_loss: 0.9134 - val_mean_absolute_error: 0.9134 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8479 - mean_absolute_error: 0.8479 - val_loss: 0.9121 - val_mean_absolute_error: 0.9121 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8468 - mean_absolute_error: 0.8468 - val_loss: 0.9112 - val_mean_absolute_error: 0.9112 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8457 - mean_absolute_error: 0.8457 - val_loss: 0.9100 - val_mean_absolute_error: 0.9100 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8446 - mean_absolute_error: 0.8446 - val_loss: 0.9090 - val_mean_absolute_error: 0.9090 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8435 - mean_absolute_error: 0.8435 - val_loss: 0.9077 - val_mean_absolute_error: 0.9077 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8424 - mean_absolute_error: 0.8424 - val_loss: 0.9066 - val_mean_absolute_error: 0.9066 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8414 - mean_absolute_error: 0.8414 - val_loss: 0.9053 - val_mean_absolute_error: 0.9053 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8404 - mean_absolute_error: 0.8404 - val_loss: 0.9044 - val_mean_absolute_error: 0.9044 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8393 - mean_absolute_error: 0.8393 - val_loss: 0.9034 - val_mean_absolute_error: 0.9034 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8383 - mean_absolute_error: 0.8383 - val_loss: 0.9022 - val_mean_absolute_error: 0.9022 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8372 - mean_absolute_error: 0.8372 - val_loss: 0.9011 - val_mean_absolute_error: 0.9011 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8363 - mean_absolute_error: 0.8363 - val_loss: 0.9001 - val_mean_absolute_error: 0.9001 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8353 - mean_absolute_error: 0.8353 - val_loss: 0.8990 - val_mean_absolute_error: 0.8990 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8344 - mean_absolute_error: 0.8344 - val_loss: 0.8981 - val_mean_absolute_error: 0.8981 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8334 - mean_absolute_error: 0.8334 - val_loss: 0.8970 - val_mean_absolute_error: 0.8970 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8326 - mean_absolute_error: 0.8326 - val_loss: 0.8961 - val_mean_absolute_error: 0.8961 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8317 - mean_absolute_error: 0.8317 - val_loss: 0.8952 - val_mean_absolute_error: 0.8952 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8308 - mean_absolute_error: 0.8308 - val_loss: 0.8943 - val_mean_absolute_error: 0.8943 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8299 - mean_absolute_error: 0.8299 - val_loss: 0.8934 - val_mean_absolute_error: 0.8934 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8290 - mean_absolute_error: 0.8290 - val_loss: 0.8925 - val_mean_absolute_error: 0.8925 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8283 - mean_absolute_error: 0.8283 - val_loss: 0.8918 - val_mean_absolute_error: 0.8918 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8274 - mean_absolute_error: 0.8274 - val_loss: 0.8911 - val_mean_absolute_error: 0.8911 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8266 - mean_absolute_error: 0.8266 - val_loss: 0.8901 - val_mean_absolute_error: 0.8901 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8259 - mean_absolute_error: 0.8259 - val_loss: 0.8894 - val_mean_absolute_error: 0.8894 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8250 - mean_absolute_error: 0.8250 - val_loss: 0.8886 - val_mean_absolute_error: 0.8886 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8242 - mean_absolute_error: 0.8242 - val_loss: 0.8879 - val_mean_absolute_error: 0.8879 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8235 - mean_absolute_error: 0.8235 - val_loss: 0.8870 - val_mean_absolute_error: 0.8870 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8227 - mean_absolute_error: 0.8227 - val_loss: 0.8863 - val_mean_absolute_error: 0.8863 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8219 - mean_absolute_error: 0.8219 - val_loss: 0.8854 - val_mean_absolute_error: 0.8854 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8212 - mean_absolute_error: 0.8212 - val_loss: 0.8846 - val_mean_absolute_error: 0.8846 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8204 - mean_absolute_error: 0.8204 - val_loss: 0.8839 - val_mean_absolute_error: 0.8839 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8197 - mean_absolute_error: 0.8197 - val_loss: 0.8831 - val_mean_absolute_error: 0.8831 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8191 - mean_absolute_error: 0.8191 - val_loss: 0.8824 - val_mean_absolute_error: 0.8824 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8183 - mean_absolute_error: 0.8183 - val_loss: 0.8818 - val_mean_absolute_error: 0.8818 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8177 - mean_absolute_error: 0.8177 - val_loss: 0.8809 - val_mean_absolute_error: 0.8809 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8170 - mean_absolute_error: 0.8170 - val_loss: 0.8803 - val_mean_absolute_error: 0.8803 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8163 - mean_absolute_error: 0.8163 - val_loss: 0.8796 - val_mean_absolute_error: 0.8796 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8157 - mean_absolute_error: 0.8157 - val_loss: 0.8789 - val_mean_absolute_error: 0.8789 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8151 - mean_absolute_error: 0.8151 - val_loss: 0.8785 - val_mean_absolute_error: 0.8785 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8144 - mean_absolute_error: 0.8144 - val_loss: 0.8776 - val_mean_absolute_error: 0.8776 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8137 - mean_absolute_error: 0.8137 - val_loss: 0.8769 - val_mean_absolute_error: 0.8769 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8131 - mean_absolute_error: 0.8131 - val_loss: 0.8763 - val_mean_absolute_error: 0.8763 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8125 - mean_absolute_error: 0.8125 - val_loss: 0.8757 - val_mean_absolute_error: 0.8757 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8119 - mean_absolute_error: 0.8119 - val_loss: 0.8750 - val_mean_absolute_error: 0.8750 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8113 - mean_absolute_error: 0.8113 - val_loss: 0.8742 - val_mean_absolute_error: 0.8742 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8107 - mean_absolute_error: 0.8107 - val_loss: 0.8737 - val_mean_absolute_error: 0.8737 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8101 - mean_absolute_error: 0.8101 - val_loss: 0.8731 - val_mean_absolute_error: 0.8731 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8095 - mean_absolute_error: 0.8095 - val_loss: 0.8724 - val_mean_absolute_error: 0.8724 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8089 - mean_absolute_error: 0.8089 - val_loss: 0.8718 - val_mean_absolute_error: 0.8718 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8084 - mean_absolute_error: 0.8084 - val_loss: 0.8712 - val_mean_absolute_error: 0.8712 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8079 - mean_absolute_error: 0.8079 - val_loss: 0.8704 - val_mean_absolute_error: 0.8704 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8073 - mean_absolute_error: 0.8073 - val_loss: 0.8698 - val_mean_absolute_error: 0.8698 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8067 - mean_absolute_error: 0.8067 - val_loss: 0.8691 - val_mean_absolute_error: 0.8691 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8061 - mean_absolute_error: 0.8061 - val_loss: 0.8686 - val_mean_absolute_error: 0.8686 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8056 - mean_absolute_error: 0.8056 - val_loss: 0.8680 - val_mean_absolute_error: 0.8680 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8051 - mean_absolute_error: 0.8051 - val_loss: 0.8674 - val_mean_absolute_error: 0.8674 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8045 - mean_absolute_error: 0.8045 - val_loss: 0.8669 - val_mean_absolute_error: 0.8669 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8040 - mean_absolute_error: 0.8040 - val_loss: 0.8663 - val_mean_absolute_error: 0.8663 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8034 - mean_absolute_error: 0.8034 - val_loss: 0.8658 - val_mean_absolute_error: 0.8658 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8029 - mean_absolute_error: 0.8029 - val_loss: 0.8651 - val_mean_absolute_error: 0.8651 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8025 - mean_absolute_error: 0.8025 - val_loss: 0.8647 - val_mean_absolute_error: 0.8647 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8019 - mean_absolute_error: 0.8019 - val_loss: 0.8640 - val_mean_absolute_error: 0.8640 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8014 - mean_absolute_error: 0.8014 - val_loss: 0.8634 - val_mean_absolute_error: 0.8634 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8009 - mean_absolute_error: 0.8009 - val_loss: 0.8628 - val_mean_absolute_error: 0.8628 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8004 - mean_absolute_error: 0.8004 - val_loss: 0.8622 - val_mean_absolute_error: 0.8622 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7999 - mean_absolute_error: 0.7999 - val_loss: 0.8617 - val_mean_absolute_error: 0.8617 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7994 - mean_absolute_error: 0.7994 - val_loss: 0.8612 - val_mean_absolute_error: 0.8612 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7989 - mean_absolute_error: 0.7989 - val_loss: 0.8605 - val_mean_absolute_error: 0.8605 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7984 - mean_absolute_error: 0.7984 - val_loss: 0.8601 - val_mean_absolute_error: 0.8601 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7979 - mean_absolute_error: 0.7979 - val_loss: 0.8596 - val_mean_absolute_error: 0.8596 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7974 - mean_absolute_error: 0.7974 - val_loss: 0.8591 - val_mean_absolute_error: 0.8591 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7970 - mean_absolute_error: 0.7970 - val_loss: 0.8585 - val_mean_absolute_error: 0.8585 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7965 - mean_absolute_error: 0.7965 - val_loss: 0.8581 - val_mean_absolute_error: 0.8581 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7960 - mean_absolute_error: 0.7960 - val_loss: 0.8575 - val_mean_absolute_error: 0.8575 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7956 - mean_absolute_error: 0.7956 - val_loss: 0.8571 - val_mean_absolute_error: 0.8571 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7951 - mean_absolute_error: 0.7951 - val_loss: 0.8565 - val_mean_absolute_error: 0.8565 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7946 - mean_absolute_error: 0.7946 - val_loss: 0.8561 - val_mean_absolute_error: 0.8561 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7942 - mean_absolute_error: 0.7942 - val_loss: 0.8556 - val_mean_absolute_error: 0.8556 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7938 - mean_absolute_error: 0.7938 - val_loss: 0.8552 - val_mean_absolute_error: 0.8552 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7933 - mean_absolute_error: 0.7933 - val_loss: 0.8547 - val_mean_absolute_error: 0.8547 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7929 - mean_absolute_error: 0.7929 - val_loss: 0.8544 - val_mean_absolute_error: 0.8544 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7924 - mean_absolute_error: 0.7924 - val_loss: 0.8538 - val_mean_absolute_error: 0.8538 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7920 - mean_absolute_error: 0.7920 - val_loss: 0.8534 - val_mean_absolute_error: 0.8534 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7916 - mean_absolute_error: 0.7916 - val_loss: 0.8530 - val_mean_absolute_error: 0.8530 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7911 - mean_absolute_error: 0.7911 - val_loss: 0.8526 - val_mean_absolute_error: 0.8526 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7907 - mean_absolute_error: 0.7907 - val_loss: 0.8522 - val_mean_absolute_error: 0.8522 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7903 - mean_absolute_error: 0.7903 - val_loss: 0.8517 - val_mean_absolute_error: 0.8517 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7899 - mean_absolute_error: 0.7899 - val_loss: 0.8513 - val_mean_absolute_error: 0.8513 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7894 - mean_absolute_error: 0.7894 - val_loss: 0.8508 - val_mean_absolute_error: 0.8508 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7890 - mean_absolute_error: 0.7890 - val_loss: 0.8505 - val_mean_absolute_error: 0.8505 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7886 - mean_absolute_error: 0.7886 - val_loss: 0.8500 - val_mean_absolute_error: 0.8500 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7882 - mean_absolute_error: 0.7882 - val_loss: 0.8497 - val_mean_absolute_error: 0.8497 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7878 - mean_absolute_error: 0.7878 - val_loss: 0.8492 - val_mean_absolute_error: 0.8492 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7874 - mean_absolute_error: 0.7874 - val_loss: 0.8488 - val_mean_absolute_error: 0.8488 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7870 - mean_absolute_error: 0.7870 - val_loss: 0.8484 - val_mean_absolute_error: 0.8484 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7866 - mean_absolute_error: 0.7866 - val_loss: 0.8480 - val_mean_absolute_error: 0.8480 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7862 - mean_absolute_error: 0.7862 - val_loss: 0.8477 - val_mean_absolute_error: 0.8477 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7858 - mean_absolute_error: 0.7858 - val_loss: 0.8472 - val_mean_absolute_error: 0.8472 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7855 - mean_absolute_error: 0.7855 - val_loss: 0.8469 - val_mean_absolute_error: 0.8469 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7851 - mean_absolute_error: 0.7851 - val_loss: 0.8464 - val_mean_absolute_error: 0.8464 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7846 - mean_absolute_error: 0.7846 - val_loss: 0.8461 - val_mean_absolute_error: 0.8461 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7843 - mean_absolute_error: 0.7843 - val_loss: 0.8456 - val_mean_absolute_error: 0.8456 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7839 - mean_absolute_error: 0.7839 - val_loss: 0.8453 - val_mean_absolute_error: 0.8453 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7835 - mean_absolute_error: 0.7835 - val_loss: 0.8449 - val_mean_absolute_error: 0.8449 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7831 - mean_absolute_error: 0.7831 - val_loss: 0.8445 - val_mean_absolute_error: 0.8445 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7827 - mean_absolute_error: 0.7827 - val_loss: 0.8441 - val_mean_absolute_error: 0.8441 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7824 - mean_absolute_error: 0.7824 - val_loss: 0.8437 - val_mean_absolute_error: 0.8437 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7820 - mean_absolute_error: 0.7820 - val_loss: 0.8434 - val_mean_absolute_error: 0.8434 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7816 - mean_absolute_error: 0.7816 - val_loss: 0.8430 - val_mean_absolute_error: 0.8430 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7813 - mean_absolute_error: 0.7813 - val_loss: 0.8426 - val_mean_absolute_error: 0.8426 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7809 - mean_absolute_error: 0.7809 - val_loss: 0.8423 - val_mean_absolute_error: 0.8423 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7806 - mean_absolute_error: 0.7806 - val_loss: 0.8419 - val_mean_absolute_error: 0.8419 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7802 - mean_absolute_error: 0.7802 - val_loss: 0.8416 - val_mean_absolute_error: 0.8416 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7799 - mean_absolute_error: 0.7799 - val_loss: 0.8412 - val_mean_absolute_error: 0.8412 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7795 - mean_absolute_error: 0.7795 - val_loss: 0.8408 - val_mean_absolute_error: 0.8408 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7792 - mean_absolute_error: 0.7792 - val_loss: 0.8404 - val_mean_absolute_error: 0.8404 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7788 - mean_absolute_error: 0.7788 - val_loss: 0.8401 - val_mean_absolute_error: 0.8401 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7785 - mean_absolute_error: 0.7785 - val_loss: 0.8397 - val_mean_absolute_error: 0.8397 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7781 - mean_absolute_error: 0.7781 - val_loss: 0.8394 - val_mean_absolute_error: 0.8394 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7778 - mean_absolute_error: 0.7778 - val_loss: 0.8390 - val_mean_absolute_error: 0.8390 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7775 - mean_absolute_error: 0.7775 - val_loss: 0.8386 - val_mean_absolute_error: 0.8386 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7771 - mean_absolute_error: 0.7771 - val_loss: 0.8384 - val_mean_absolute_error: 0.8384 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7768 - mean_absolute_error: 0.7768 - val_loss: 0.8380 - val_mean_absolute_error: 0.8380 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7765 - mean_absolute_error: 0.7765 - val_loss: 0.8377 - val_mean_absolute_error: 0.8377 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7761 - mean_absolute_error: 0.7761 - val_loss: 0.8373 - val_mean_absolute_error: 0.8373 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7758 - mean_absolute_error: 0.7758 - val_loss: 0.8369 - val_mean_absolute_error: 0.8369 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7755 - mean_absolute_error: 0.7755 - val_loss: 0.8366 - val_mean_absolute_error: 0.8366 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7752 - mean_absolute_error: 0.7752 - val_loss: 0.8363 - val_mean_absolute_error: 0.8363 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7748 - mean_absolute_error: 0.7748 - val_loss: 0.8360 - val_mean_absolute_error: 0.8360 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7745 - mean_absolute_error: 0.7745 - val_loss: 0.8356 - val_mean_absolute_error: 0.8356 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7742 - mean_absolute_error: 0.7742 - val_loss: 0.8352 - val_mean_absolute_error: 0.8352 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7739 - mean_absolute_error: 0.7739 - val_loss: 0.8349 - val_mean_absolute_error: 0.8349 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7735 - mean_absolute_error: 0.7735 - val_loss: 0.8345 - val_mean_absolute_error: 0.8345 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7733 - mean_absolute_error: 0.7733 - val_loss: 0.8344 - val_mean_absolute_error: 0.8344 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7730 - mean_absolute_error: 0.7730 - val_loss: 0.8339 - val_mean_absolute_error: 0.8339 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7726 - mean_absolute_error: 0.7726 - val_loss: 0.8336 - val_mean_absolute_error: 0.8336 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7723 - mean_absolute_error: 0.7723 - val_loss: 0.8333 - val_mean_absolute_error: 0.8333 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7720 - mean_absolute_error: 0.7720 - val_loss: 0.8329 - val_mean_absolute_error: 0.8329 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7717 - mean_absolute_error: 0.7717 - val_loss: 0.8326 - val_mean_absolute_error: 0.8326 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7714 - mean_absolute_error: 0.7714 - val_loss: 0.8323 - val_mean_absolute_error: 0.8323 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7711 - mean_absolute_error: 0.7711 - val_loss: 0.8319 - val_mean_absolute_error: 0.8319 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7708 - mean_absolute_error: 0.7708 - val_loss: 0.8316 - val_mean_absolute_error: 0.8316 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7705 - mean_absolute_error: 0.7705 - val_loss: 0.8314 - val_mean_absolute_error: 0.8314 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7702 - mean_absolute_error: 0.7702 - val_loss: 0.8310 - val_mean_absolute_error: 0.8310 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7699 - mean_absolute_error: 0.7699 - val_loss: 0.8307 - val_mean_absolute_error: 0.8307 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7696 - mean_absolute_error: 0.7696 - val_loss: 0.8304 - val_mean_absolute_error: 0.8304 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7693 - mean_absolute_error: 0.7693 - val_loss: 0.8301 - val_mean_absolute_error: 0.8301 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7690 - mean_absolute_error: 0.7690 - val_loss: 0.8298 - val_mean_absolute_error: 0.8298 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7687 - mean_absolute_error: 0.7687 - val_loss: 0.8295 - val_mean_absolute_error: 0.8295 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7685 - mean_absolute_error: 0.7685 - val_loss: 0.8292 - val_mean_absolute_error: 0.8292 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7682 - mean_absolute_error: 0.7682 - val_loss: 0.8288 - val_mean_absolute_error: 0.8288 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7679 - mean_absolute_error: 0.7679 - val_loss: 0.8286 - val_mean_absolute_error: 0.8286 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7676 - mean_absolute_error: 0.7676 - val_loss: 0.8283 - val_mean_absolute_error: 0.8283 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7673 - mean_absolute_error: 0.7673 - val_loss: 0.8280 - val_mean_absolute_error: 0.8280 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7671 - mean_absolute_error: 0.7671 - val_loss: 0.8277 - val_mean_absolute_error: 0.8277 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7668 - mean_absolute_error: 0.7668 - val_loss: 0.8274 - val_mean_absolute_error: 0.8274 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7665 - mean_absolute_error: 0.7665 - val_loss: 0.8271 - val_mean_absolute_error: 0.8271 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7662 - mean_absolute_error: 0.7662 - val_loss: 0.8269 - val_mean_absolute_error: 0.8269 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7660 - mean_absolute_error: 0.7660 - val_loss: 0.8266 - val_mean_absolute_error: 0.8266 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7657 - mean_absolute_error: 0.7657 - val_loss: 0.8263 - val_mean_absolute_error: 0.8263 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7654 - mean_absolute_error: 0.7654 - val_loss: 0.8260 - val_mean_absolute_error: 0.8260 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7652 - mean_absolute_error: 0.7652 - val_loss: 0.8258 - val_mean_absolute_error: 0.8258 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7649 - mean_absolute_error: 0.7649 - val_loss: 0.8255 - val_mean_absolute_error: 0.8255 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7646 - mean_absolute_error: 0.7646 - val_loss: 0.8251 - val_mean_absolute_error: 0.8251 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7643 - mean_absolute_error: 0.7643 - val_loss: 0.8249 - val_mean_absolute_error: 0.8249 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7641 - mean_absolute_error: 0.7641 - val_loss: 0.8247 - val_mean_absolute_error: 0.8247 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7638 - mean_absolute_error: 0.7638 - val_loss: 0.8244 - val_mean_absolute_error: 0.8244 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7636 - mean_absolute_error: 0.7636 - val_loss: 0.8240 - val_mean_absolute_error: 0.8240 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7633 - mean_absolute_error: 0.7633 - val_loss: 0.8239 - val_mean_absolute_error: 0.8239 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7630 - mean_absolute_error: 0.7630 - val_loss: 0.8235 - val_mean_absolute_error: 0.8235 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7628 - mean_absolute_error: 0.7628 - val_loss: 0.8233 - val_mean_absolute_error: 0.8233 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7625 - mean_absolute_error: 0.7625 - val_loss: 0.8230 - val_mean_absolute_error: 0.8230 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7623 - mean_absolute_error: 0.7623 - val_loss: 0.8227 - val_mean_absolute_error: 0.8227 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7620 - mean_absolute_error: 0.7620 - val_loss: 0.8225 - val_mean_absolute_error: 0.8225 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7618 - mean_absolute_error: 0.7618 - val_loss: 0.8222 - val_mean_absolute_error: 0.8222 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7615 - mean_absolute_error: 0.7615 - val_loss: 0.8220 - val_mean_absolute_error: 0.8220 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7613 - mean_absolute_error: 0.7613 - val_loss: 0.8217 - val_mean_absolute_error: 0.8217 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7610 - mean_absolute_error: 0.7610 - val_loss: 0.8214 - val_mean_absolute_error: 0.8214 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7608 - mean_absolute_error: 0.7608 - val_loss: 0.8212 - val_mean_absolute_error: 0.8212 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7605 - mean_absolute_error: 0.7605 - val_loss: 0.8209 - val_mean_absolute_error: 0.8209 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7603 - mean_absolute_error: 0.7603 - val_loss: 0.8207 - val_mean_absolute_error: 0.8207 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7601 - mean_absolute_error: 0.7601 - val_loss: 0.8203 - val_mean_absolute_error: 0.8203 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7598 - mean_absolute_error: 0.7598 - val_loss: 0.8201 - val_mean_absolute_error: 0.8201 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7595 - mean_absolute_error: 0.7595 - val_loss: 0.8199 - val_mean_absolute_error: 0.8199 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7593 - mean_absolute_error: 0.7593 - val_loss: 0.8196 - val_mean_absolute_error: 0.8196 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7590 - mean_absolute_error: 0.7590 - val_loss: 0.8194 - val_mean_absolute_error: 0.8194 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7588 - mean_absolute_error: 0.7588 - val_loss: 0.8191 - val_mean_absolute_error: 0.8191 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7586 - mean_absolute_error: 0.7586 - val_loss: 0.8189 - val_mean_absolute_error: 0.8189 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7583 - mean_absolute_error: 0.7583 - val_loss: 0.8186 - val_mean_absolute_error: 0.8186 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7581 - mean_absolute_error: 0.7581 - val_loss: 0.8184 - val_mean_absolute_error: 0.8184 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7579 - mean_absolute_error: 0.7579 - val_loss: 0.8181 - val_mean_absolute_error: 0.8181 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7576 - mean_absolute_error: 0.7576 - val_loss: 0.8179 - val_mean_absolute_error: 0.8179 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7574 - mean_absolute_error: 0.7574 - val_loss: 0.8177 - val_mean_absolute_error: 0.8177 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7572 - mean_absolute_error: 0.7572 - val_loss: 0.8174 - val_mean_absolute_error: 0.8174 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7569 - mean_absolute_error: 0.7569 - val_loss: 0.8171 - val_mean_absolute_error: 0.8171 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7567 - mean_absolute_error: 0.7567 - val_loss: 0.8169 - val_mean_absolute_error: 0.8169 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7565 - mean_absolute_error: 0.7565 - val_loss: 0.8166 - val_mean_absolute_error: 0.8166 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7562 - mean_absolute_error: 0.7562 - val_loss: 0.8165 - val_mean_absolute_error: 0.8165 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7560 - mean_absolute_error: 0.7560 - val_loss: 0.8162 - val_mean_absolute_error: 0.8162 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7558 - mean_absolute_error: 0.7558 - val_loss: 0.8160 - val_mean_absolute_error: 0.8160 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7556 - mean_absolute_error: 0.7556 - val_loss: 0.8157 - val_mean_absolute_error: 0.8157 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7553 - mean_absolute_error: 0.7553 - val_loss: 0.8155 - val_mean_absolute_error: 0.8155 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7551 - mean_absolute_error: 0.7551 - val_loss: 0.8153 - val_mean_absolute_error: 0.8153 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7549 - mean_absolute_error: 0.7549 - val_loss: 0.8150 - val_mean_absolute_error: 0.8150 Epoch 281/500 35/35 [==============================] - 0s 3ms/step - loss: 0.7547 - mean_absolute_error: 0.7547 - val_loss: 0.8148 - val_mean_absolute_error: 0.8148 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7545 - mean_absolute_error: 0.7545 - val_loss: 0.8145 - val_mean_absolute_error: 0.8145 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7542 - mean_absolute_error: 0.7542 - val_loss: 0.8143 - val_mean_absolute_error: 0.8143 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7540 - mean_absolute_error: 0.7540 - val_loss: 0.8141 - val_mean_absolute_error: 0.8141 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7538 - mean_absolute_error: 0.7538 - val_loss: 0.8139 - val_mean_absolute_error: 0.8139 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7536 - mean_absolute_error: 0.7536 - val_loss: 0.8137 - val_mean_absolute_error: 0.8137 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7534 - mean_absolute_error: 0.7534 - val_loss: 0.8134 - val_mean_absolute_error: 0.8134 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7531 - mean_absolute_error: 0.7531 - val_loss: 0.8132 - val_mean_absolute_error: 0.8132 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7529 - mean_absolute_error: 0.7529 - val_loss: 0.8130 - val_mean_absolute_error: 0.8130 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7527 - mean_absolute_error: 0.7527 - val_loss: 0.8128 - val_mean_absolute_error: 0.8128 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7525 - mean_absolute_error: 0.7525 - val_loss: 0.8126 - val_mean_absolute_error: 0.8126 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7523 - mean_absolute_error: 0.7523 - val_loss: 0.8123 - val_mean_absolute_error: 0.8123 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7521 - mean_absolute_error: 0.7521 - val_loss: 0.8121 - val_mean_absolute_error: 0.8121 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7519 - mean_absolute_error: 0.7519 - val_loss: 0.8119 - val_mean_absolute_error: 0.8119 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7517 - mean_absolute_error: 0.7517 - val_loss: 0.8117 - val_mean_absolute_error: 0.8117 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7515 - mean_absolute_error: 0.7515 - val_loss: 0.8115 - val_mean_absolute_error: 0.8115 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7513 - mean_absolute_error: 0.7513 - val_loss: 0.8113 - val_mean_absolute_error: 0.8113 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7510 - mean_absolute_error: 0.7510 - val_loss: 0.8111 - val_mean_absolute_error: 0.8111 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7508 - mean_absolute_error: 0.7508 - val_loss: 0.8109 - val_mean_absolute_error: 0.8109 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7506 - mean_absolute_error: 0.7506 - val_loss: 0.8106 - val_mean_absolute_error: 0.8106 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7505 - mean_absolute_error: 0.7505 - val_loss: 0.8104 - val_mean_absolute_error: 0.8104 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7502 - mean_absolute_error: 0.7502 - val_loss: 0.8102 - val_mean_absolute_error: 0.8102 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7500 - mean_absolute_error: 0.7500 - val_loss: 0.8100 - val_mean_absolute_error: 0.8100 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7498 - mean_absolute_error: 0.7498 - val_loss: 0.8098 - val_mean_absolute_error: 0.8098 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7496 - mean_absolute_error: 0.7496 - val_loss: 0.8096 - val_mean_absolute_error: 0.8096 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7494 - mean_absolute_error: 0.7494 - val_loss: 0.8094 - val_mean_absolute_error: 0.8094 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7492 - mean_absolute_error: 0.7492 - val_loss: 0.8092 - val_mean_absolute_error: 0.8092 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7490 - mean_absolute_error: 0.7490 - val_loss: 0.8090 - val_mean_absolute_error: 0.8090 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7488 - mean_absolute_error: 0.7488 - val_loss: 0.8088 - val_mean_absolute_error: 0.8088 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7486 - mean_absolute_error: 0.7486 - val_loss: 0.8086 - val_mean_absolute_error: 0.8086 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7485 - mean_absolute_error: 0.7485 - val_loss: 0.8084 - val_mean_absolute_error: 0.8084 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7483 - mean_absolute_error: 0.7483 - val_loss: 0.8082 - val_mean_absolute_error: 0.8082 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7481 - mean_absolute_error: 0.7481 - val_loss: 0.8080 - val_mean_absolute_error: 0.8080 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7479 - mean_absolute_error: 0.7479 - val_loss: 0.8078 - val_mean_absolute_error: 0.8078 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7477 - mean_absolute_error: 0.7477 - val_loss: 0.8076 - val_mean_absolute_error: 0.8076 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7475 - mean_absolute_error: 0.7475 - val_loss: 0.8074 - val_mean_absolute_error: 0.8074 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7473 - mean_absolute_error: 0.7473 - val_loss: 0.8072 - val_mean_absolute_error: 0.8072 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7471 - mean_absolute_error: 0.7471 - val_loss: 0.8070 - val_mean_absolute_error: 0.8070 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7469 - mean_absolute_error: 0.7469 - val_loss: 0.8069 - val_mean_absolute_error: 0.8069 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7467 - mean_absolute_error: 0.7467 - val_loss: 0.8066 - val_mean_absolute_error: 0.8066 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7465 - mean_absolute_error: 0.7465 - val_loss: 0.8064 - val_mean_absolute_error: 0.8064 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7463 - mean_absolute_error: 0.7463 - val_loss: 0.8062 - val_mean_absolute_error: 0.8062 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7461 - mean_absolute_error: 0.7461 - val_loss: 0.8061 - val_mean_absolute_error: 0.8061 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7460 - mean_absolute_error: 0.7460 - val_loss: 0.8059 - val_mean_absolute_error: 0.8059 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7458 - mean_absolute_error: 0.7458 - val_loss: 0.8057 - val_mean_absolute_error: 0.8057 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7456 - mean_absolute_error: 0.7456 - val_loss: 0.8055 - val_mean_absolute_error: 0.8055 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7454 - mean_absolute_error: 0.7454 - val_loss: 0.8053 - val_mean_absolute_error: 0.8053 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7452 - mean_absolute_error: 0.7452 - val_loss: 0.8051 - val_mean_absolute_error: 0.8051 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7450 - mean_absolute_error: 0.7450 - val_loss: 0.8049 - val_mean_absolute_error: 0.8049 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7448 - mean_absolute_error: 0.7448 - val_loss: 0.8048 - val_mean_absolute_error: 0.8048 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7447 - mean_absolute_error: 0.7447 - val_loss: 0.8046 - val_mean_absolute_error: 0.8046 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7445 - mean_absolute_error: 0.7445 - val_loss: 0.8044 - val_mean_absolute_error: 0.8044 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7443 - mean_absolute_error: 0.7443 - val_loss: 0.8041 - val_mean_absolute_error: 0.8041 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7441 - mean_absolute_error: 0.7441 - val_loss: 0.8040 - val_mean_absolute_error: 0.8040 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7439 - mean_absolute_error: 0.7439 - val_loss: 0.8038 - val_mean_absolute_error: 0.8038 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7438 - mean_absolute_error: 0.7438 - val_loss: 0.8036 - val_mean_absolute_error: 0.8036 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7436 - mean_absolute_error: 0.7436 - val_loss: 0.8034 - val_mean_absolute_error: 0.8034 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7434 - mean_absolute_error: 0.7434 - val_loss: 0.8033 - val_mean_absolute_error: 0.8033 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7432 - mean_absolute_error: 0.7432 - val_loss: 0.8031 - val_mean_absolute_error: 0.8031 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7431 - mean_absolute_error: 0.7431 - val_loss: 0.8029 - val_mean_absolute_error: 0.8029 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7429 - mean_absolute_error: 0.7429 - val_loss: 0.8027 - val_mean_absolute_error: 0.8027 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7427 - mean_absolute_error: 0.7427 - val_loss: 0.8025 - val_mean_absolute_error: 0.8025 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7425 - mean_absolute_error: 0.7425 - val_loss: 0.8024 - val_mean_absolute_error: 0.8024 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7423 - mean_absolute_error: 0.7423 - val_loss: 0.8022 - val_mean_absolute_error: 0.8022 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7422 - mean_absolute_error: 0.7422 - val_loss: 0.8020 - val_mean_absolute_error: 0.8020 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7420 - mean_absolute_error: 0.7420 - val_loss: 0.8019 - val_mean_absolute_error: 0.8019 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7418 - mean_absolute_error: 0.7418 - val_loss: 0.8016 - val_mean_absolute_error: 0.8016 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7417 - mean_absolute_error: 0.7417 - val_loss: 0.8015 - val_mean_absolute_error: 0.8015 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7415 - mean_absolute_error: 0.7415 - val_loss: 0.8013 - val_mean_absolute_error: 0.8013 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7413 - mean_absolute_error: 0.7413 - val_loss: 0.8011 - val_mean_absolute_error: 0.8011 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7411 - mean_absolute_error: 0.7411 - val_loss: 0.8009 - val_mean_absolute_error: 0.8009 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7410 - mean_absolute_error: 0.7410 - val_loss: 0.8008 - val_mean_absolute_error: 0.8008 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7408 - mean_absolute_error: 0.7408 - val_loss: 0.8006 - val_mean_absolute_error: 0.8006 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7406 - mean_absolute_error: 0.7406 - val_loss: 0.8004 - val_mean_absolute_error: 0.8004 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7404 - mean_absolute_error: 0.7404 - val_loss: 0.8003 - val_mean_absolute_error: 0.8003 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7403 - mean_absolute_error: 0.7403 - val_loss: 0.8001 - val_mean_absolute_error: 0.8001 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7401 - mean_absolute_error: 0.7401 - val_loss: 0.8000 - val_mean_absolute_error: 0.8000 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7399 - mean_absolute_error: 0.7399 - val_loss: 0.7997 - val_mean_absolute_error: 0.7997 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7398 - mean_absolute_error: 0.7398 - val_loss: 0.7996 - val_mean_absolute_error: 0.7996 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7396 - mean_absolute_error: 0.7396 - val_loss: 0.7995 - val_mean_absolute_error: 0.7995 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7394 - mean_absolute_error: 0.7394 - val_loss: 0.7992 - val_mean_absolute_error: 0.7992 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7393 - mean_absolute_error: 0.7393 - val_loss: 0.7990 - val_mean_absolute_error: 0.7990 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7391 - mean_absolute_error: 0.7391 - val_loss: 0.7989 - val_mean_absolute_error: 0.7989 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7390 - mean_absolute_error: 0.7390 - val_loss: 0.7988 - val_mean_absolute_error: 0.7988 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7388 - mean_absolute_error: 0.7388 - val_loss: 0.7987 - val_mean_absolute_error: 0.7987 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7386 - mean_absolute_error: 0.7386 - val_loss: 0.7984 - val_mean_absolute_error: 0.7984 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7385 - mean_absolute_error: 0.7385 - val_loss: 0.7983 - val_mean_absolute_error: 0.7983 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7383 - mean_absolute_error: 0.7383 - val_loss: 0.7982 - val_mean_absolute_error: 0.7982 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7381 - mean_absolute_error: 0.7381 - val_loss: 0.7980 - val_mean_absolute_error: 0.7980 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7380 - mean_absolute_error: 0.7380 - val_loss: 0.7979 - val_mean_absolute_error: 0.7979 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7378 - mean_absolute_error: 0.7378 - val_loss: 0.7977 - val_mean_absolute_error: 0.7977 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7377 - mean_absolute_error: 0.7377 - val_loss: 0.7975 - val_mean_absolute_error: 0.7975 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7375 - mean_absolute_error: 0.7375 - val_loss: 0.7974 - val_mean_absolute_error: 0.7974 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7374 - mean_absolute_error: 0.7374 - val_loss: 0.7972 - val_mean_absolute_error: 0.7972 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7372 - mean_absolute_error: 0.7372 - val_loss: 0.7971 - val_mean_absolute_error: 0.7971 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7371 - mean_absolute_error: 0.7371 - val_loss: 0.7969 - val_mean_absolute_error: 0.7969 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7369 - mean_absolute_error: 0.7369 - val_loss: 0.7968 - val_mean_absolute_error: 0.7968 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7367 - mean_absolute_error: 0.7367 - val_loss: 0.7966 - val_mean_absolute_error: 0.7966 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7366 - mean_absolute_error: 0.7366 - val_loss: 0.7964 - val_mean_absolute_error: 0.7964 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7365 - mean_absolute_error: 0.7365 - val_loss: 0.7963 - val_mean_absolute_error: 0.7963 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7363 - mean_absolute_error: 0.7363 - val_loss: 0.7962 - val_mean_absolute_error: 0.7962 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7362 - mean_absolute_error: 0.7362 - val_loss: 0.7960 - val_mean_absolute_error: 0.7960 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7360 - mean_absolute_error: 0.7360 - val_loss: 0.7958 - val_mean_absolute_error: 0.7958 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7358 - mean_absolute_error: 0.7358 - val_loss: 0.7957 - val_mean_absolute_error: 0.7957 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7357 - mean_absolute_error: 0.7357 - val_loss: 0.7956 - val_mean_absolute_error: 0.7956 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7355 - mean_absolute_error: 0.7355 - val_loss: 0.7954 - val_mean_absolute_error: 0.7954 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7354 - mean_absolute_error: 0.7354 - val_loss: 0.7952 - val_mean_absolute_error: 0.7952 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7352 - mean_absolute_error: 0.7352 - val_loss: 0.7951 - val_mean_absolute_error: 0.7951 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7351 - mean_absolute_error: 0.7351 - val_loss: 0.7950 - val_mean_absolute_error: 0.7950 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7350 - mean_absolute_error: 0.7350 - val_loss: 0.7948 - val_mean_absolute_error: 0.7948 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7348 - mean_absolute_error: 0.7348 - val_loss: 0.7947 - val_mean_absolute_error: 0.7947 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7346 - mean_absolute_error: 0.7346 - val_loss: 0.7945 - val_mean_absolute_error: 0.7945 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7345 - mean_absolute_error: 0.7345 - val_loss: 0.7944 - val_mean_absolute_error: 0.7944 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7344 - mean_absolute_error: 0.7344 - val_loss: 0.7942 - val_mean_absolute_error: 0.7942 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7342 - mean_absolute_error: 0.7342 - val_loss: 0.7941 - val_mean_absolute_error: 0.7941 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7341 - mean_absolute_error: 0.7341 - val_loss: 0.7939 - val_mean_absolute_error: 0.7939 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7339 - mean_absolute_error: 0.7339 - val_loss: 0.7938 - val_mean_absolute_error: 0.7938 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7338 - mean_absolute_error: 0.7338 - val_loss: 0.7936 - val_mean_absolute_error: 0.7936 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7336 - mean_absolute_error: 0.7336 - val_loss: 0.7935 - val_mean_absolute_error: 0.7935 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7335 - mean_absolute_error: 0.7335 - val_loss: 0.7934 - val_mean_absolute_error: 0.7934 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7333 - mean_absolute_error: 0.7333 - val_loss: 0.7932 - val_mean_absolute_error: 0.7932 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7332 - mean_absolute_error: 0.7332 - val_loss: 0.7931 - val_mean_absolute_error: 0.7931 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7331 - mean_absolute_error: 0.7331 - val_loss: 0.7929 - val_mean_absolute_error: 0.7929 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7329 - mean_absolute_error: 0.7329 - val_loss: 0.7928 - val_mean_absolute_error: 0.7928 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7328 - mean_absolute_error: 0.7328 - val_loss: 0.7926 - val_mean_absolute_error: 0.7926 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7326 - mean_absolute_error: 0.7326 - val_loss: 0.7925 - val_mean_absolute_error: 0.7925 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7325 - mean_absolute_error: 0.7325 - val_loss: 0.7923 - val_mean_absolute_error: 0.7923 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7323 - mean_absolute_error: 0.7323 - val_loss: 0.7922 - val_mean_absolute_error: 0.7922 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7322 - mean_absolute_error: 0.7322 - val_loss: 0.7920 - val_mean_absolute_error: 0.7920 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7321 - mean_absolute_error: 0.7321 - val_loss: 0.7919 - val_mean_absolute_error: 0.7919 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7319 - mean_absolute_error: 0.7319 - val_loss: 0.7918 - val_mean_absolute_error: 0.7918 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7318 - mean_absolute_error: 0.7318 - val_loss: 0.7916 - val_mean_absolute_error: 0.7916 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7317 - mean_absolute_error: 0.7317 - val_loss: 0.7914 - val_mean_absolute_error: 0.7914 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7315 - mean_absolute_error: 0.7315 - val_loss: 0.7913 - val_mean_absolute_error: 0.7913 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7314 - mean_absolute_error: 0.7314 - val_loss: 0.7912 - val_mean_absolute_error: 0.7912 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7312 - mean_absolute_error: 0.7312 - val_loss: 0.7911 - val_mean_absolute_error: 0.7911 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7311 - mean_absolute_error: 0.7311 - val_loss: 0.7909 - val_mean_absolute_error: 0.7909 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7310 - mean_absolute_error: 0.7310 - val_loss: 0.7907 - val_mean_absolute_error: 0.7907 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7308 - mean_absolute_error: 0.7308 - val_loss: 0.7906 - val_mean_absolute_error: 0.7906 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7307 - mean_absolute_error: 0.7307 - val_loss: 0.7905 - val_mean_absolute_error: 0.7905 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7306 - mean_absolute_error: 0.7306 - val_loss: 0.7903 - val_mean_absolute_error: 0.7903 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7304 - mean_absolute_error: 0.7304 - val_loss: 0.7902 - val_mean_absolute_error: 0.7902 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7303 - mean_absolute_error: 0.7303 - val_loss: 0.7901 - val_mean_absolute_error: 0.7901 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7302 - mean_absolute_error: 0.7302 - val_loss: 0.7899 - val_mean_absolute_error: 0.7899 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7300 - mean_absolute_error: 0.7300 - val_loss: 0.7897 - val_mean_absolute_error: 0.7897 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7299 - mean_absolute_error: 0.7299 - val_loss: 0.7896 - val_mean_absolute_error: 0.7896 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7298 - mean_absolute_error: 0.7298 - val_loss: 0.7895 - val_mean_absolute_error: 0.7895 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7296 - mean_absolute_error: 0.7296 - val_loss: 0.7893 - val_mean_absolute_error: 0.7893 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7295 - mean_absolute_error: 0.7295 - val_loss: 0.7892 - val_mean_absolute_error: 0.7892 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7294 - mean_absolute_error: 0.7294 - val_loss: 0.7890 - val_mean_absolute_error: 0.7890 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7292 - mean_absolute_error: 0.7292 - val_loss: 0.7889 - val_mean_absolute_error: 0.7889 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7291 - mean_absolute_error: 0.7291 - val_loss: 0.7888 - val_mean_absolute_error: 0.7888 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7290 - mean_absolute_error: 0.7290 - val_loss: 0.7886 - val_mean_absolute_error: 0.7886 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7288 - mean_absolute_error: 0.7288 - val_loss: 0.7885 - val_mean_absolute_error: 0.7885 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7287 - mean_absolute_error: 0.7287 - val_loss: 0.7883 - val_mean_absolute_error: 0.7883 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7286 - mean_absolute_error: 0.7286 - val_loss: 0.7882 - val_mean_absolute_error: 0.7882 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7284 - mean_absolute_error: 0.7284 - val_loss: 0.7880 - val_mean_absolute_error: 0.7880 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7283 - mean_absolute_error: 0.7283 - val_loss: 0.7879 - val_mean_absolute_error: 0.7879 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7282 - mean_absolute_error: 0.7282 - val_loss: 0.7878 - val_mean_absolute_error: 0.7878 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7281 - mean_absolute_error: 0.7281 - val_loss: 0.7876 - val_mean_absolute_error: 0.7876 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7279 - mean_absolute_error: 0.7279 - val_loss: 0.7875 - val_mean_absolute_error: 0.7875 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7278 - mean_absolute_error: 0.7278 - val_loss: 0.7873 - val_mean_absolute_error: 0.7873 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7277 - mean_absolute_error: 0.7277 - val_loss: 0.7872 - val_mean_absolute_error: 0.7872 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7275 - mean_absolute_error: 0.7275 - val_loss: 0.7870 - val_mean_absolute_error: 0.7870 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7274 - mean_absolute_error: 0.7274 - val_loss: 0.7869 - val_mean_absolute_error: 0.7869 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7273 - mean_absolute_error: 0.7273 - val_loss: 0.7867 - val_mean_absolute_error: 0.7867 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7271 - mean_absolute_error: 0.7271 - val_loss: 0.7866 - val_mean_absolute_error: 0.7866 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7270 - mean_absolute_error: 0.7270 - val_loss: 0.7865 - val_mean_absolute_error: 0.7865 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7269 - mean_absolute_error: 0.7269 - val_loss: 0.7864 - val_mean_absolute_error: 0.7864 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7268 - mean_absolute_error: 0.7268 - val_loss: 0.7862 - val_mean_absolute_error: 0.7862 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7266 - mean_absolute_error: 0.7266 - val_loss: 0.7861 - val_mean_absolute_error: 0.7861 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7265 - mean_absolute_error: 0.7265 - val_loss: 0.7859 - val_mean_absolute_error: 0.7859 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7264 - mean_absolute_error: 0.7264 - val_loss: 0.7858 - val_mean_absolute_error: 0.7858 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7263 - mean_absolute_error: 0.7263 - val_loss: 0.7857 - val_mean_absolute_error: 0.7857 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7261 - mean_absolute_error: 0.7261 - val_loss: 0.7855 - val_mean_absolute_error: 0.7855 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7260 - mean_absolute_error: 0.7260 - val_loss: 0.7854 - val_mean_absolute_error: 0.7854 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7259 - mean_absolute_error: 0.7259 - val_loss: 0.7853 - val_mean_absolute_error: 0.7853 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7258 - mean_absolute_error: 0.7258 - val_loss: 0.7852 - val_mean_absolute_error: 0.7852 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7256 - mean_absolute_error: 0.7256 - val_loss: 0.7850 - val_mean_absolute_error: 0.7850 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7255 - mean_absolute_error: 0.7255 - val_loss: 0.7849 - val_mean_absolute_error: 0.7849 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7254 - mean_absolute_error: 0.7254 - val_loss: 0.7847 - val_mean_absolute_error: 0.7847 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7253 - mean_absolute_error: 0.7253 - val_loss: 0.7846 - val_mean_absolute_error: 0.7846 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7251 - mean_absolute_error: 0.7251 - val_loss: 0.7845 - val_mean_absolute_error: 0.7845 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7250 - mean_absolute_error: 0.7250 - val_loss: 0.7844 - val_mean_absolute_error: 0.7844 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7249 - mean_absolute_error: 0.7249 - val_loss: 0.7842 - val_mean_absolute_error: 0.7842 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7248 - mean_absolute_error: 0.7248 - val_loss: 0.7841 - val_mean_absolute_error: 0.7841 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7247 - mean_absolute_error: 0.7247 - val_loss: 0.7839 - val_mean_absolute_error: 0.7839 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7245 - mean_absolute_error: 0.7245 - val_loss: 0.7839 - val_mean_absolute_error: 0.7839 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7244 - mean_absolute_error: 0.7244 - val_loss: 0.7837 - val_mean_absolute_error: 0.7837 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7243 - mean_absolute_error: 0.7243 - val_loss: 0.7836 - val_mean_absolute_error: 0.7836 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7242 - mean_absolute_error: 0.7242 - val_loss: 0.7835 - val_mean_absolute_error: 0.7835 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7241 - mean_absolute_error: 0.7241 - val_loss: 0.7833 - val_mean_absolute_error: 0.7833 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7239 - mean_absolute_error: 0.7239 - val_loss: 0.7833 - val_mean_absolute_error: 0.7833 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7238 - mean_absolute_error: 0.7238 - val_loss: 0.7831 - val_mean_absolute_error: 0.7831 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7237 - mean_absolute_error: 0.7237 - val_loss: 0.7830 - val_mean_absolute_error: 0.7830 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7236 - mean_absolute_error: 0.7236 - val_loss: 0.7829 - val_mean_absolute_error: 0.7829 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7235 - mean_absolute_error: 0.7235 - val_loss: 0.7828 - val_mean_absolute_error: 0.7828 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7233 - mean_absolute_error: 0.7233 - val_loss: 0.7826 - val_mean_absolute_error: 0.7826 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7232 - mean_absolute_error: 0.7232 - val_loss: 0.7825 - val_mean_absolute_error: 0.7825 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7231 - mean_absolute_error: 0.7231 - val_loss: 0.7824 - val_mean_absolute_error: 0.7824 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7230 - mean_absolute_error: 0.7230 - val_loss: 0.7823 - val_mean_absolute_error: 0.7823 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7229 - mean_absolute_error: 0.7229 - val_loss: 0.7821 - val_mean_absolute_error: 0.7821 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7227 - mean_absolute_error: 0.7227 - val_loss: 0.7820 - val_mean_absolute_error: 0.7820 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7226 - mean_absolute_error: 0.7226 - val_loss: 0.7819 - val_mean_absolute_error: 0.7819 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7225 - mean_absolute_error: 0.7225 - val_loss: 0.7818 - val_mean_absolute_error: 0.7818 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7224 - mean_absolute_error: 0.7224 - val_loss: 0.7817 - val_mean_absolute_error: 0.7817 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7223 - mean_absolute_error: 0.7223 - val_loss: 0.7816 - val_mean_absolute_error: 0.7816 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7222 - mean_absolute_error: 0.7222 - val_loss: 0.7814 - val_mean_absolute_error: 0.7814 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7220 - mean_absolute_error: 0.7220 - val_loss: 0.7813 - val_mean_absolute_error: 0.7813 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7219 - mean_absolute_error: 0.7219 - val_loss: 0.7812 - val_mean_absolute_error: 0.7812 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7218 - mean_absolute_error: 0.7218 - val_loss: 0.7811 - val_mean_absolute_error: 0.7811 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7217 - mean_absolute_error: 0.7217 - val_loss: 0.7810 - val_mean_absolute_error: 0.7810 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7216 - mean_absolute_error: 0.7216 - val_loss: 0.7808 - val_mean_absolute_error: 0.7808 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7215 - mean_absolute_error: 0.7215 - val_loss: 0.7807 - val_mean_absolute_error: 0.7807 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7214 - mean_absolute_error: 0.7214 - val_loss: 0.7806 - val_mean_absolute_error: 0.7806 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7213 - mean_absolute_error: 0.7213 - val_loss: 0.7805 - val_mean_absolute_error: 0.7805 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7211 - mean_absolute_error: 0.7211 - val_loss: 0.7804 - val_mean_absolute_error: 0.7804 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7210 - mean_absolute_error: 0.7210 - val_loss: 0.7803 - val_mean_absolute_error: 0.7803 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7209 - mean_absolute_error: 0.7209 - val_loss: 0.7802 - val_mean_absolute_error: 0.7802 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7208 - mean_absolute_error: 0.7208 - val_loss: 0.7800 - val_mean_absolute_error: 0.7800 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 1.7736 - mean_absolute_error: 1.7736 - val_loss: 0.6373 - val_mean_absolute_error: 0.6373 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6282 - mean_absolute_error: 0.6282 - val_loss: 0.6400 - val_mean_absolute_error: 0.6400 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5677 - mean_absolute_error: 0.5677 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5427 - mean_absolute_error: 0.5427 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5028 - mean_absolute_error: 0.5028 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5573 - mean_absolute_error: 0.5573 - val_loss: 0.5848 - val_mean_absolute_error: 0.5848 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5375 - mean_absolute_error: 0.5375 - val_loss: 0.5275 - val_mean_absolute_error: 0.5275 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5103 - mean_absolute_error: 0.5103 - val_loss: 0.5121 - val_mean_absolute_error: 0.5121 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5116 - mean_absolute_error: 0.5116 - val_loss: 0.5720 - val_mean_absolute_error: 0.5720 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5176 - mean_absolute_error: 0.5176 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4983 - mean_absolute_error: 0.4983 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4856 - mean_absolute_error: 0.4856 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4927 - mean_absolute_error: 0.4927 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4932 - mean_absolute_error: 0.4932 - val_loss: 0.5783 - val_mean_absolute_error: 0.5783 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4988 - mean_absolute_error: 0.4988 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5598 - mean_absolute_error: 0.5598 - val_loss: 0.5777 - val_mean_absolute_error: 0.5777 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5043 - mean_absolute_error: 0.5043 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5004 - mean_absolute_error: 0.5004 - val_loss: 0.4770 - val_mean_absolute_error: 0.4770 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4965 - mean_absolute_error: 0.4965 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4996 - mean_absolute_error: 0.4996 - val_loss: 0.5227 - val_mean_absolute_error: 0.5227 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5462 - val_mean_absolute_error: 0.5462 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5885 - val_mean_absolute_error: 0.5885 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4912 - mean_absolute_error: 0.4912 - val_loss: 0.5583 - val_mean_absolute_error: 0.5583 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4882 - mean_absolute_error: 0.4882 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.4671 - val_mean_absolute_error: 0.4671 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4775 - val_mean_absolute_error: 0.4775 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4607 - mean_absolute_error: 0.4607 - val_loss: 0.4845 - val_mean_absolute_error: 0.4845 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4800 - val_mean_absolute_error: 0.4800 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.4765 - val_mean_absolute_error: 0.4765 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4573 - mean_absolute_error: 0.4573 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5482 - val_mean_absolute_error: 0.5482 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4634 - mean_absolute_error: 0.4634 - val_loss: 0.4860 - val_mean_absolute_error: 0.4860 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4614 - mean_absolute_error: 0.4614 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.5210 - val_mean_absolute_error: 0.5210 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4624 - mean_absolute_error: 0.4624 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4634 - mean_absolute_error: 0.4634 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4621 - mean_absolute_error: 0.4621 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4562 - mean_absolute_error: 0.4562 - val_loss: 0.4853 - val_mean_absolute_error: 0.4853 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4658 - val_mean_absolute_error: 0.4658 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.5449 - val_mean_absolute_error: 0.5449 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4625 - val_mean_absolute_error: 0.4625 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4826 - mean_absolute_error: 0.4826 - val_loss: 0.5460 - val_mean_absolute_error: 0.5460 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4585 - mean_absolute_error: 0.4585 - val_loss: 0.5208 - val_mean_absolute_error: 0.5208 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.5491 - val_mean_absolute_error: 0.5491 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.4734 - val_mean_absolute_error: 0.4734 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.5555 - val_mean_absolute_error: 0.5555 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.5934 - val_mean_absolute_error: 0.5934 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4804 - mean_absolute_error: 0.4804 - val_loss: 0.5397 - val_mean_absolute_error: 0.5397 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5088 - mean_absolute_error: 0.5088 - val_loss: 0.5911 - val_mean_absolute_error: 0.5911 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5268 - val_mean_absolute_error: 0.5268 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5776 - val_mean_absolute_error: 0.5776 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4898 - mean_absolute_error: 0.4898 - val_loss: 0.5404 - val_mean_absolute_error: 0.5404 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4656 - mean_absolute_error: 0.4656 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5259 - val_mean_absolute_error: 0.5259 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.5433 - val_mean_absolute_error: 0.5433 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4894 - mean_absolute_error: 0.4894 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5489 - val_mean_absolute_error: 0.5489 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4435 - mean_absolute_error: 0.4435 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4521 - mean_absolute_error: 0.4521 - val_loss: 0.4660 - val_mean_absolute_error: 0.4660 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4553 - mean_absolute_error: 0.4553 - val_loss: 0.5798 - val_mean_absolute_error: 0.5798 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4661 - mean_absolute_error: 0.4661 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4582 - mean_absolute_error: 0.4582 - val_loss: 0.4692 - val_mean_absolute_error: 0.4692 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4476 - mean_absolute_error: 0.4476 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4705 - mean_absolute_error: 0.4705 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4505 - mean_absolute_error: 0.4505 - val_loss: 0.4791 - val_mean_absolute_error: 0.4791 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4489 - mean_absolute_error: 0.4489 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4556 - mean_absolute_error: 0.4556 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4633 - mean_absolute_error: 0.4633 - val_loss: 0.4765 - val_mean_absolute_error: 0.4765 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4616 - mean_absolute_error: 0.4616 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4686 - val_mean_absolute_error: 0.4686 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4577 - mean_absolute_error: 0.4577 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5228 - val_mean_absolute_error: 0.5228 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.5184 - val_mean_absolute_error: 0.5184 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.4844 - val_mean_absolute_error: 0.4844 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4687 - val_mean_absolute_error: 0.4687 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mean_absolute_error: 0.4622 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4568 - mean_absolute_error: 0.4568 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.5398 - val_mean_absolute_error: 0.5398 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4829 - mean_absolute_error: 0.4829 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 00124: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping Epoch 1/500 35/35 [==============================] - 1s 9ms/step - loss: 1.5390 - mean_absolute_error: 1.5390 - val_loss: 1.0489 - val_mean_absolute_error: 1.0489 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9305 - mean_absolute_error: 0.9305 - val_loss: 0.9265 - val_mean_absolute_error: 0.9265 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8445 - mean_absolute_error: 0.8445 - val_loss: 0.8785 - val_mean_absolute_error: 0.8785 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7928 - mean_absolute_error: 0.7928 - val_loss: 0.8386 - val_mean_absolute_error: 0.8386 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7575 - mean_absolute_error: 0.7575 - val_loss: 0.8119 - val_mean_absolute_error: 0.8119 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7379 - mean_absolute_error: 0.7379 - val_loss: 0.7968 - val_mean_absolute_error: 0.7968 Epoch 7/500 35/35 [==============================] - 0s 3ms/step - loss: 0.7170 - mean_absolute_error: 0.7170 - val_loss: 0.7778 - val_mean_absolute_error: 0.7778 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7024 - mean_absolute_error: 0.7024 - val_loss: 0.7657 - val_mean_absolute_error: 0.7657 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6905 - mean_absolute_error: 0.6905 - val_loss: 0.7526 - val_mean_absolute_error: 0.7526 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6794 - mean_absolute_error: 0.6794 - val_loss: 0.7458 - val_mean_absolute_error: 0.7458 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6699 - mean_absolute_error: 0.6699 - val_loss: 0.7358 - val_mean_absolute_error: 0.7358 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.7279 - val_mean_absolute_error: 0.7279 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6550 - mean_absolute_error: 0.6550 - val_loss: 0.7218 - val_mean_absolute_error: 0.7218 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6481 - mean_absolute_error: 0.6481 - val_loss: 0.7150 - val_mean_absolute_error: 0.7150 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6425 - mean_absolute_error: 0.6425 - val_loss: 0.7097 - val_mean_absolute_error: 0.7097 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6374 - mean_absolute_error: 0.6374 - val_loss: 0.7039 - val_mean_absolute_error: 0.7039 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6320 - mean_absolute_error: 0.6320 - val_loss: 0.6986 - val_mean_absolute_error: 0.6986 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6275 - mean_absolute_error: 0.6275 - val_loss: 0.6933 - val_mean_absolute_error: 0.6933 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6236 - mean_absolute_error: 0.6236 - val_loss: 0.6891 - val_mean_absolute_error: 0.6891 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6197 - mean_absolute_error: 0.6197 - val_loss: 0.6846 - val_mean_absolute_error: 0.6846 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6160 - mean_absolute_error: 0.6160 - val_loss: 0.6805 - val_mean_absolute_error: 0.6805 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6126 - mean_absolute_error: 0.6126 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6100 - mean_absolute_error: 0.6100 - val_loss: 0.6743 - val_mean_absolute_error: 0.6743 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6066 - mean_absolute_error: 0.6066 - val_loss: 0.6704 - val_mean_absolute_error: 0.6704 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6038 - mean_absolute_error: 0.6038 - val_loss: 0.6679 - val_mean_absolute_error: 0.6679 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6011 - mean_absolute_error: 0.6011 - val_loss: 0.6645 - val_mean_absolute_error: 0.6645 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5988 - mean_absolute_error: 0.5988 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5963 - mean_absolute_error: 0.5963 - val_loss: 0.6594 - val_mean_absolute_error: 0.6594 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5942 - mean_absolute_error: 0.5942 - val_loss: 0.6572 - val_mean_absolute_error: 0.6572 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5923 - mean_absolute_error: 0.5923 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5901 - mean_absolute_error: 0.5901 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5883 - mean_absolute_error: 0.5883 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5868 - mean_absolute_error: 0.5868 - val_loss: 0.6491 - val_mean_absolute_error: 0.6491 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5850 - mean_absolute_error: 0.5850 - val_loss: 0.6472 - val_mean_absolute_error: 0.6472 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5833 - mean_absolute_error: 0.5833 - val_loss: 0.6450 - val_mean_absolute_error: 0.6450 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5820 - mean_absolute_error: 0.5820 - val_loss: 0.6439 - val_mean_absolute_error: 0.6439 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5806 - mean_absolute_error: 0.5806 - val_loss: 0.6420 - val_mean_absolute_error: 0.6420 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5792 - mean_absolute_error: 0.5792 - val_loss: 0.6405 - val_mean_absolute_error: 0.6405 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5778 - mean_absolute_error: 0.5778 - val_loss: 0.6391 - val_mean_absolute_error: 0.6391 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5767 - mean_absolute_error: 0.5767 - val_loss: 0.6378 - val_mean_absolute_error: 0.6378 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5754 - mean_absolute_error: 0.5754 - val_loss: 0.6367 - val_mean_absolute_error: 0.6367 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5743 - mean_absolute_error: 0.5743 - val_loss: 0.6351 - val_mean_absolute_error: 0.6351 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5730 - mean_absolute_error: 0.5730 - val_loss: 0.6341 - val_mean_absolute_error: 0.6341 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5721 - mean_absolute_error: 0.5721 - val_loss: 0.6326 - val_mean_absolute_error: 0.6326 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5709 - mean_absolute_error: 0.5709 - val_loss: 0.6316 - val_mean_absolute_error: 0.6316 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5699 - mean_absolute_error: 0.5699 - val_loss: 0.6303 - val_mean_absolute_error: 0.6303 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5691 - mean_absolute_error: 0.5691 - val_loss: 0.6299 - val_mean_absolute_error: 0.6299 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5682 - mean_absolute_error: 0.5682 - val_loss: 0.6285 - val_mean_absolute_error: 0.6285 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5671 - mean_absolute_error: 0.5671 - val_loss: 0.6277 - val_mean_absolute_error: 0.6277 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5663 - mean_absolute_error: 0.5663 - val_loss: 0.6271 - val_mean_absolute_error: 0.6271 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5655 - mean_absolute_error: 0.5655 - val_loss: 0.6258 - val_mean_absolute_error: 0.6258 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5647 - mean_absolute_error: 0.5647 - val_loss: 0.6249 - val_mean_absolute_error: 0.6249 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5639 - mean_absolute_error: 0.5639 - val_loss: 0.6240 - val_mean_absolute_error: 0.6240 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5630 - mean_absolute_error: 0.5630 - val_loss: 0.6234 - val_mean_absolute_error: 0.6234 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5624 - mean_absolute_error: 0.5624 - val_loss: 0.6223 - val_mean_absolute_error: 0.6223 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5617 - mean_absolute_error: 0.5617 - val_loss: 0.6216 - val_mean_absolute_error: 0.6216 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5611 - mean_absolute_error: 0.5611 - val_loss: 0.6208 - val_mean_absolute_error: 0.6208 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5604 - mean_absolute_error: 0.5604 - val_loss: 0.6202 - val_mean_absolute_error: 0.6202 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5596 - mean_absolute_error: 0.5596 - val_loss: 0.6194 - val_mean_absolute_error: 0.6194 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5592 - mean_absolute_error: 0.5592 - val_loss: 0.6188 - val_mean_absolute_error: 0.6188 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5585 - mean_absolute_error: 0.5585 - val_loss: 0.6179 - val_mean_absolute_error: 0.6179 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5581 - mean_absolute_error: 0.5581 - val_loss: 0.6171 - val_mean_absolute_error: 0.6171 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5573 - mean_absolute_error: 0.5573 - val_loss: 0.6167 - val_mean_absolute_error: 0.6167 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5568 - mean_absolute_error: 0.5568 - val_loss: 0.6158 - val_mean_absolute_error: 0.6158 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5563 - mean_absolute_error: 0.5563 - val_loss: 0.6154 - val_mean_absolute_error: 0.6154 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5556 - mean_absolute_error: 0.5556 - val_loss: 0.6149 - val_mean_absolute_error: 0.6149 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5551 - mean_absolute_error: 0.5551 - val_loss: 0.6144 - val_mean_absolute_error: 0.6144 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5547 - mean_absolute_error: 0.5547 - val_loss: 0.6136 - val_mean_absolute_error: 0.6136 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5541 - mean_absolute_error: 0.5541 - val_loss: 0.6131 - val_mean_absolute_error: 0.6131 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5537 - mean_absolute_error: 0.5537 - val_loss: 0.6126 - val_mean_absolute_error: 0.6126 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5532 - mean_absolute_error: 0.5532 - val_loss: 0.6119 - val_mean_absolute_error: 0.6119 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5527 - mean_absolute_error: 0.5527 - val_loss: 0.6116 - val_mean_absolute_error: 0.6116 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5523 - mean_absolute_error: 0.5523 - val_loss: 0.6108 - val_mean_absolute_error: 0.6108 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5519 - mean_absolute_error: 0.5519 - val_loss: 0.6104 - val_mean_absolute_error: 0.6104 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5514 - mean_absolute_error: 0.5514 - val_loss: 0.6100 - val_mean_absolute_error: 0.6100 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5510 - mean_absolute_error: 0.5510 - val_loss: 0.6094 - val_mean_absolute_error: 0.6094 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5506 - mean_absolute_error: 0.5506 - val_loss: 0.6089 - val_mean_absolute_error: 0.6089 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5501 - mean_absolute_error: 0.5501 - val_loss: 0.6085 - val_mean_absolute_error: 0.6085 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5497 - mean_absolute_error: 0.5497 - val_loss: 0.6080 - val_mean_absolute_error: 0.6080 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.6077 - val_mean_absolute_error: 0.6077 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5491 - mean_absolute_error: 0.5491 - val_loss: 0.6070 - val_mean_absolute_error: 0.6070 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5486 - mean_absolute_error: 0.5486 - val_loss: 0.6066 - val_mean_absolute_error: 0.6066 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5482 - mean_absolute_error: 0.5482 - val_loss: 0.6062 - val_mean_absolute_error: 0.6062 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5479 - mean_absolute_error: 0.5479 - val_loss: 0.6057 - val_mean_absolute_error: 0.6057 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5475 - mean_absolute_error: 0.5475 - val_loss: 0.6053 - val_mean_absolute_error: 0.6053 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5471 - mean_absolute_error: 0.5471 - val_loss: 0.6051 - val_mean_absolute_error: 0.6051 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5469 - mean_absolute_error: 0.5469 - val_loss: 0.6045 - val_mean_absolute_error: 0.6045 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5466 - mean_absolute_error: 0.5466 - val_loss: 0.6043 - val_mean_absolute_error: 0.6043 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5461 - mean_absolute_error: 0.5461 - val_loss: 0.6039 - val_mean_absolute_error: 0.6039 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5458 - mean_absolute_error: 0.5458 - val_loss: 0.6035 - val_mean_absolute_error: 0.6035 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5456 - mean_absolute_error: 0.5456 - val_loss: 0.6032 - val_mean_absolute_error: 0.6032 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5451 - mean_absolute_error: 0.5451 - val_loss: 0.6027 - val_mean_absolute_error: 0.6027 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5449 - mean_absolute_error: 0.5449 - val_loss: 0.6025 - val_mean_absolute_error: 0.6025 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5446 - mean_absolute_error: 0.5446 - val_loss: 0.6022 - val_mean_absolute_error: 0.6022 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5442 - mean_absolute_error: 0.5442 - val_loss: 0.6017 - val_mean_absolute_error: 0.6017 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5440 - mean_absolute_error: 0.5440 - val_loss: 0.6015 - val_mean_absolute_error: 0.6015 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5437 - mean_absolute_error: 0.5437 - val_loss: 0.6011 - val_mean_absolute_error: 0.6011 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5434 - mean_absolute_error: 0.5434 - val_loss: 0.6008 - val_mean_absolute_error: 0.6008 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5430 - mean_absolute_error: 0.5430 - val_loss: 0.6005 - val_mean_absolute_error: 0.6005 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.6003 - val_mean_absolute_error: 0.6003 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5425 - mean_absolute_error: 0.5425 - val_loss: 0.5999 - val_mean_absolute_error: 0.5999 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5423 - mean_absolute_error: 0.5423 - val_loss: 0.5996 - val_mean_absolute_error: 0.5996 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5420 - mean_absolute_error: 0.5420 - val_loss: 0.5994 - val_mean_absolute_error: 0.5994 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5417 - mean_absolute_error: 0.5417 - val_loss: 0.5992 - val_mean_absolute_error: 0.5992 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5415 - mean_absolute_error: 0.5415 - val_loss: 0.5989 - val_mean_absolute_error: 0.5989 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5412 - mean_absolute_error: 0.5412 - val_loss: 0.5986 - val_mean_absolute_error: 0.5986 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5410 - mean_absolute_error: 0.5410 - val_loss: 0.5984 - val_mean_absolute_error: 0.5984 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5407 - mean_absolute_error: 0.5407 - val_loss: 0.5980 - val_mean_absolute_error: 0.5980 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5405 - mean_absolute_error: 0.5405 - val_loss: 0.5978 - val_mean_absolute_error: 0.5978 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5403 - mean_absolute_error: 0.5403 - val_loss: 0.5975 - val_mean_absolute_error: 0.5975 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5401 - mean_absolute_error: 0.5401 - val_loss: 0.5974 - val_mean_absolute_error: 0.5974 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.5970 - val_mean_absolute_error: 0.5970 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5395 - mean_absolute_error: 0.5395 - val_loss: 0.5968 - val_mean_absolute_error: 0.5968 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5394 - mean_absolute_error: 0.5394 - val_loss: 0.5966 - val_mean_absolute_error: 0.5966 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5391 - mean_absolute_error: 0.5391 - val_loss: 0.5963 - val_mean_absolute_error: 0.5963 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.5960 - val_mean_absolute_error: 0.5960 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5388 - mean_absolute_error: 0.5388 - val_loss: 0.5958 - val_mean_absolute_error: 0.5958 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5385 - mean_absolute_error: 0.5385 - val_loss: 0.5956 - val_mean_absolute_error: 0.5956 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5384 - mean_absolute_error: 0.5384 - val_loss: 0.5956 - val_mean_absolute_error: 0.5956 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5381 - mean_absolute_error: 0.5381 - val_loss: 0.5952 - val_mean_absolute_error: 0.5952 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5379 - mean_absolute_error: 0.5379 - val_loss: 0.5950 - val_mean_absolute_error: 0.5950 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5377 - mean_absolute_error: 0.5377 - val_loss: 0.5948 - val_mean_absolute_error: 0.5948 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5375 - mean_absolute_error: 0.5375 - val_loss: 0.5946 - val_mean_absolute_error: 0.5946 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5373 - mean_absolute_error: 0.5373 - val_loss: 0.5945 - val_mean_absolute_error: 0.5945 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5371 - mean_absolute_error: 0.5371 - val_loss: 0.5943 - val_mean_absolute_error: 0.5943 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5369 - mean_absolute_error: 0.5369 - val_loss: 0.5940 - val_mean_absolute_error: 0.5940 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5367 - mean_absolute_error: 0.5367 - val_loss: 0.5939 - val_mean_absolute_error: 0.5939 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5365 - mean_absolute_error: 0.5365 - val_loss: 0.5937 - val_mean_absolute_error: 0.5937 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5363 - mean_absolute_error: 0.5363 - val_loss: 0.5935 - val_mean_absolute_error: 0.5935 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5361 - mean_absolute_error: 0.5361 - val_loss: 0.5932 - val_mean_absolute_error: 0.5932 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5359 - mean_absolute_error: 0.5359 - val_loss: 0.5930 - val_mean_absolute_error: 0.5930 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5358 - mean_absolute_error: 0.5358 - val_loss: 0.5928 - val_mean_absolute_error: 0.5928 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5356 - mean_absolute_error: 0.5356 - val_loss: 0.5926 - val_mean_absolute_error: 0.5926 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5354 - mean_absolute_error: 0.5354 - val_loss: 0.5924 - val_mean_absolute_error: 0.5924 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5352 - mean_absolute_error: 0.5352 - val_loss: 0.5924 - val_mean_absolute_error: 0.5924 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5350 - mean_absolute_error: 0.5350 - val_loss: 0.5921 - val_mean_absolute_error: 0.5921 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5348 - mean_absolute_error: 0.5348 - val_loss: 0.5921 - val_mean_absolute_error: 0.5921 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5347 - mean_absolute_error: 0.5347 - val_loss: 0.5918 - val_mean_absolute_error: 0.5918 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5346 - mean_absolute_error: 0.5346 - val_loss: 0.5915 - val_mean_absolute_error: 0.5915 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5343 - mean_absolute_error: 0.5343 - val_loss: 0.5913 - val_mean_absolute_error: 0.5913 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5341 - mean_absolute_error: 0.5341 - val_loss: 0.5913 - val_mean_absolute_error: 0.5913 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5340 - mean_absolute_error: 0.5340 - val_loss: 0.5911 - val_mean_absolute_error: 0.5911 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5338 - mean_absolute_error: 0.5338 - val_loss: 0.5908 - val_mean_absolute_error: 0.5908 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5336 - mean_absolute_error: 0.5336 - val_loss: 0.5908 - val_mean_absolute_error: 0.5908 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5334 - mean_absolute_error: 0.5334 - val_loss: 0.5905 - val_mean_absolute_error: 0.5905 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5333 - mean_absolute_error: 0.5333 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5332 - mean_absolute_error: 0.5332 - val_loss: 0.5902 - val_mean_absolute_error: 0.5902 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5329 - mean_absolute_error: 0.5329 - val_loss: 0.5902 - val_mean_absolute_error: 0.5902 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5328 - mean_absolute_error: 0.5328 - val_loss: 0.5900 - val_mean_absolute_error: 0.5900 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5327 - mean_absolute_error: 0.5327 - val_loss: 0.5898 - val_mean_absolute_error: 0.5898 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5325 - mean_absolute_error: 0.5325 - val_loss: 0.5896 - val_mean_absolute_error: 0.5896 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5323 - mean_absolute_error: 0.5323 - val_loss: 0.5895 - val_mean_absolute_error: 0.5895 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5893 - val_mean_absolute_error: 0.5893 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5322 - mean_absolute_error: 0.5322 - val_loss: 0.5893 - val_mean_absolute_error: 0.5893 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5318 - mean_absolute_error: 0.5318 - val_loss: 0.5890 - val_mean_absolute_error: 0.5890 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5317 - mean_absolute_error: 0.5317 - val_loss: 0.5889 - val_mean_absolute_error: 0.5889 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5316 - mean_absolute_error: 0.5316 - val_loss: 0.5888 - val_mean_absolute_error: 0.5888 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5314 - mean_absolute_error: 0.5314 - val_loss: 0.5886 - val_mean_absolute_error: 0.5886 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5312 - mean_absolute_error: 0.5312 - val_loss: 0.5885 - val_mean_absolute_error: 0.5885 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5311 - mean_absolute_error: 0.5311 - val_loss: 0.5884 - val_mean_absolute_error: 0.5884 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5311 - mean_absolute_error: 0.5311 - val_loss: 0.5881 - val_mean_absolute_error: 0.5881 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5309 - mean_absolute_error: 0.5309 - val_loss: 0.5881 - val_mean_absolute_error: 0.5881 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5307 - mean_absolute_error: 0.5307 - val_loss: 0.5878 - val_mean_absolute_error: 0.5878 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5306 - mean_absolute_error: 0.5306 - val_loss: 0.5878 - val_mean_absolute_error: 0.5878 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5304 - mean_absolute_error: 0.5304 - val_loss: 0.5877 - val_mean_absolute_error: 0.5877 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5303 - mean_absolute_error: 0.5303 - val_loss: 0.5876 - val_mean_absolute_error: 0.5876 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5302 - mean_absolute_error: 0.5302 - val_loss: 0.5875 - val_mean_absolute_error: 0.5875 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5301 - mean_absolute_error: 0.5301 - val_loss: 0.5874 - val_mean_absolute_error: 0.5874 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5299 - mean_absolute_error: 0.5299 - val_loss: 0.5873 - val_mean_absolute_error: 0.5873 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5298 - mean_absolute_error: 0.5298 - val_loss: 0.5871 - val_mean_absolute_error: 0.5871 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5297 - mean_absolute_error: 0.5297 - val_loss: 0.5868 - val_mean_absolute_error: 0.5868 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5296 - mean_absolute_error: 0.5296 - val_loss: 0.5868 - val_mean_absolute_error: 0.5868 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5294 - mean_absolute_error: 0.5294 - val_loss: 0.5869 - val_mean_absolute_error: 0.5869 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5293 - mean_absolute_error: 0.5293 - val_loss: 0.5867 - val_mean_absolute_error: 0.5867 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5292 - mean_absolute_error: 0.5292 - val_loss: 0.5865 - val_mean_absolute_error: 0.5865 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5291 - mean_absolute_error: 0.5291 - val_loss: 0.5863 - val_mean_absolute_error: 0.5863 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5290 - mean_absolute_error: 0.5290 - val_loss: 0.5863 - val_mean_absolute_error: 0.5863 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5288 - mean_absolute_error: 0.5288 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5287 - mean_absolute_error: 0.5287 - val_loss: 0.5860 - val_mean_absolute_error: 0.5860 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5286 - mean_absolute_error: 0.5286 - val_loss: 0.5859 - val_mean_absolute_error: 0.5859 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5285 - mean_absolute_error: 0.5285 - val_loss: 0.5858 - val_mean_absolute_error: 0.5858 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5284 - mean_absolute_error: 0.5284 - val_loss: 0.5857 - val_mean_absolute_error: 0.5857 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5283 - mean_absolute_error: 0.5283 - val_loss: 0.5856 - val_mean_absolute_error: 0.5856 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5282 - mean_absolute_error: 0.5282 - val_loss: 0.5855 - val_mean_absolute_error: 0.5855 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5280 - mean_absolute_error: 0.5280 - val_loss: 0.5854 - val_mean_absolute_error: 0.5854 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5279 - mean_absolute_error: 0.5279 - val_loss: 0.5851 - val_mean_absolute_error: 0.5851 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5278 - mean_absolute_error: 0.5278 - val_loss: 0.5851 - val_mean_absolute_error: 0.5851 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5277 - mean_absolute_error: 0.5277 - val_loss: 0.5850 - val_mean_absolute_error: 0.5850 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5276 - mean_absolute_error: 0.5276 - val_loss: 0.5849 - val_mean_absolute_error: 0.5849 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5275 - mean_absolute_error: 0.5275 - val_loss: 0.5849 - val_mean_absolute_error: 0.5849 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5274 - mean_absolute_error: 0.5274 - val_loss: 0.5847 - val_mean_absolute_error: 0.5847 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5273 - mean_absolute_error: 0.5273 - val_loss: 0.5846 - val_mean_absolute_error: 0.5846 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5272 - mean_absolute_error: 0.5272 - val_loss: 0.5844 - val_mean_absolute_error: 0.5844 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5271 - mean_absolute_error: 0.5271 - val_loss: 0.5844 - val_mean_absolute_error: 0.5844 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5271 - mean_absolute_error: 0.5271 - val_loss: 0.5843 - val_mean_absolute_error: 0.5843 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5269 - mean_absolute_error: 0.5269 - val_loss: 0.5842 - val_mean_absolute_error: 0.5842 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5268 - mean_absolute_error: 0.5268 - val_loss: 0.5842 - val_mean_absolute_error: 0.5842 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5267 - mean_absolute_error: 0.5267 - val_loss: 0.5840 - val_mean_absolute_error: 0.5840 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5266 - mean_absolute_error: 0.5266 - val_loss: 0.5840 - val_mean_absolute_error: 0.5840 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5265 - mean_absolute_error: 0.5265 - val_loss: 0.5837 - val_mean_absolute_error: 0.5837 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5264 - mean_absolute_error: 0.5264 - val_loss: 0.5837 - val_mean_absolute_error: 0.5837 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5263 - mean_absolute_error: 0.5263 - val_loss: 0.5836 - val_mean_absolute_error: 0.5836 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5262 - mean_absolute_error: 0.5262 - val_loss: 0.5835 - val_mean_absolute_error: 0.5835 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5261 - mean_absolute_error: 0.5261 - val_loss: 0.5833 - val_mean_absolute_error: 0.5833 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5260 - mean_absolute_error: 0.5260 - val_loss: 0.5832 - val_mean_absolute_error: 0.5832 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.5832 - val_mean_absolute_error: 0.5832 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5259 - mean_absolute_error: 0.5259 - val_loss: 0.5830 - val_mean_absolute_error: 0.5830 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5258 - mean_absolute_error: 0.5258 - val_loss: 0.5830 - val_mean_absolute_error: 0.5830 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5257 - mean_absolute_error: 0.5257 - val_loss: 0.5828 - val_mean_absolute_error: 0.5828 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5256 - mean_absolute_error: 0.5256 - val_loss: 0.5827 - val_mean_absolute_error: 0.5827 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5255 - mean_absolute_error: 0.5255 - val_loss: 0.5827 - val_mean_absolute_error: 0.5827 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.5826 - val_mean_absolute_error: 0.5826 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5254 - mean_absolute_error: 0.5254 - val_loss: 0.5826 - val_mean_absolute_error: 0.5826 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5252 - mean_absolute_error: 0.5252 - val_loss: 0.5824 - val_mean_absolute_error: 0.5824 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5251 - mean_absolute_error: 0.5251 - val_loss: 0.5823 - val_mean_absolute_error: 0.5823 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5251 - mean_absolute_error: 0.5251 - val_loss: 0.5823 - val_mean_absolute_error: 0.5823 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5250 - mean_absolute_error: 0.5250 - val_loss: 0.5822 - val_mean_absolute_error: 0.5822 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5249 - mean_absolute_error: 0.5249 - val_loss: 0.5821 - val_mean_absolute_error: 0.5821 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5248 - mean_absolute_error: 0.5248 - val_loss: 0.5820 - val_mean_absolute_error: 0.5820 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5247 - mean_absolute_error: 0.5247 - val_loss: 0.5819 - val_mean_absolute_error: 0.5819 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5247 - mean_absolute_error: 0.5247 - val_loss: 0.5820 - val_mean_absolute_error: 0.5820 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5246 - mean_absolute_error: 0.5246 - val_loss: 0.5818 - val_mean_absolute_error: 0.5818 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.5818 - val_mean_absolute_error: 0.5818 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5244 - mean_absolute_error: 0.5244 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5243 - mean_absolute_error: 0.5243 - val_loss: 0.5815 - val_mean_absolute_error: 0.5815 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5242 - mean_absolute_error: 0.5242 - val_loss: 0.5816 - val_mean_absolute_error: 0.5816 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5242 - mean_absolute_error: 0.5242 - val_loss: 0.5814 - val_mean_absolute_error: 0.5814 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5241 - mean_absolute_error: 0.5241 - val_loss: 0.5815 - val_mean_absolute_error: 0.5815 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5240 - mean_absolute_error: 0.5240 - val_loss: 0.5813 - val_mean_absolute_error: 0.5813 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5813 - val_mean_absolute_error: 0.5813 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5239 - mean_absolute_error: 0.5239 - val_loss: 0.5812 - val_mean_absolute_error: 0.5812 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5238 - mean_absolute_error: 0.5238 - val_loss: 0.5812 - val_mean_absolute_error: 0.5812 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5237 - mean_absolute_error: 0.5237 - val_loss: 0.5810 - val_mean_absolute_error: 0.5810 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5811 - val_mean_absolute_error: 0.5811 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5236 - mean_absolute_error: 0.5236 - val_loss: 0.5810 - val_mean_absolute_error: 0.5810 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5235 - mean_absolute_error: 0.5235 - val_loss: 0.5809 - val_mean_absolute_error: 0.5809 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5234 - mean_absolute_error: 0.5234 - val_loss: 0.5808 - val_mean_absolute_error: 0.5808 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5234 - mean_absolute_error: 0.5234 - val_loss: 0.5808 - val_mean_absolute_error: 0.5808 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5233 - mean_absolute_error: 0.5233 - val_loss: 0.5808 - val_mean_absolute_error: 0.5808 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5232 - mean_absolute_error: 0.5232 - val_loss: 0.5807 - val_mean_absolute_error: 0.5807 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5806 - val_mean_absolute_error: 0.5806 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5230 - mean_absolute_error: 0.5230 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5228 - mean_absolute_error: 0.5228 - val_loss: 0.5804 - val_mean_absolute_error: 0.5804 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5226 - mean_absolute_error: 0.5226 - val_loss: 0.5802 - val_mean_absolute_error: 0.5802 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5226 - mean_absolute_error: 0.5226 - val_loss: 0.5802 - val_mean_absolute_error: 0.5802 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.5801 - val_mean_absolute_error: 0.5801 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5225 - mean_absolute_error: 0.5225 - val_loss: 0.5800 - val_mean_absolute_error: 0.5800 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5224 - mean_absolute_error: 0.5224 - val_loss: 0.5800 - val_mean_absolute_error: 0.5800 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5223 - mean_absolute_error: 0.5223 - val_loss: 0.5799 - val_mean_absolute_error: 0.5799 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5223 - mean_absolute_error: 0.5223 - val_loss: 0.5798 - val_mean_absolute_error: 0.5798 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5223 - mean_absolute_error: 0.5223 - val_loss: 0.5799 - val_mean_absolute_error: 0.5799 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5221 - mean_absolute_error: 0.5221 - val_loss: 0.5797 - val_mean_absolute_error: 0.5797 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5221 - mean_absolute_error: 0.5221 - val_loss: 0.5796 - val_mean_absolute_error: 0.5796 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5795 - val_mean_absolute_error: 0.5795 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5795 - val_mean_absolute_error: 0.5795 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5219 - mean_absolute_error: 0.5219 - val_loss: 0.5794 - val_mean_absolute_error: 0.5794 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5794 - val_mean_absolute_error: 0.5794 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5218 - mean_absolute_error: 0.5218 - val_loss: 0.5794 - val_mean_absolute_error: 0.5794 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5217 - mean_absolute_error: 0.5217 - val_loss: 0.5793 - val_mean_absolute_error: 0.5793 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5217 - mean_absolute_error: 0.5217 - val_loss: 0.5792 - val_mean_absolute_error: 0.5792 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5792 - val_mean_absolute_error: 0.5792 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5216 - mean_absolute_error: 0.5216 - val_loss: 0.5791 - val_mean_absolute_error: 0.5791 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5215 - mean_absolute_error: 0.5215 - val_loss: 0.5791 - val_mean_absolute_error: 0.5791 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5790 - val_mean_absolute_error: 0.5790 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5214 - mean_absolute_error: 0.5214 - val_loss: 0.5789 - val_mean_absolute_error: 0.5789 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5213 - mean_absolute_error: 0.5213 - val_loss: 0.5788 - val_mean_absolute_error: 0.5788 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5213 - mean_absolute_error: 0.5213 - val_loss: 0.5788 - val_mean_absolute_error: 0.5788 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5212 - mean_absolute_error: 0.5212 - val_loss: 0.5788 - val_mean_absolute_error: 0.5788 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5212 - mean_absolute_error: 0.5212 - val_loss: 0.5787 - val_mean_absolute_error: 0.5787 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5211 - mean_absolute_error: 0.5211 - val_loss: 0.5787 - val_mean_absolute_error: 0.5787 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5210 - mean_absolute_error: 0.5210 - val_loss: 0.5786 - val_mean_absolute_error: 0.5786 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5210 - mean_absolute_error: 0.5210 - val_loss: 0.5785 - val_mean_absolute_error: 0.5785 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5785 - val_mean_absolute_error: 0.5785 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5209 - mean_absolute_error: 0.5209 - val_loss: 0.5784 - val_mean_absolute_error: 0.5784 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5208 - mean_absolute_error: 0.5208 - val_loss: 0.5783 - val_mean_absolute_error: 0.5783 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5208 - mean_absolute_error: 0.5208 - val_loss: 0.5783 - val_mean_absolute_error: 0.5783 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5782 - val_mean_absolute_error: 0.5782 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5207 - mean_absolute_error: 0.5207 - val_loss: 0.5782 - val_mean_absolute_error: 0.5782 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5206 - mean_absolute_error: 0.5206 - val_loss: 0.5781 - val_mean_absolute_error: 0.5781 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5206 - mean_absolute_error: 0.5206 - val_loss: 0.5781 - val_mean_absolute_error: 0.5781 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5205 - mean_absolute_error: 0.5205 - val_loss: 0.5779 - val_mean_absolute_error: 0.5779 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5204 - mean_absolute_error: 0.5204 - val_loss: 0.5778 - val_mean_absolute_error: 0.5778 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5204 - mean_absolute_error: 0.5204 - val_loss: 0.5777 - val_mean_absolute_error: 0.5777 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5776 - val_mean_absolute_error: 0.5776 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5203 - mean_absolute_error: 0.5203 - val_loss: 0.5777 - val_mean_absolute_error: 0.5777 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5777 - val_mean_absolute_error: 0.5777 Epoch 292/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5775 - val_mean_absolute_error: 0.5775 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5202 - mean_absolute_error: 0.5202 - val_loss: 0.5774 - val_mean_absolute_error: 0.5774 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5201 - mean_absolute_error: 0.5201 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5199 - mean_absolute_error: 0.5199 - val_loss: 0.5771 - val_mean_absolute_error: 0.5771 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5198 - mean_absolute_error: 0.5198 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5198 - mean_absolute_error: 0.5198 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5770 - val_mean_absolute_error: 0.5770 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5768 - val_mean_absolute_error: 0.5768 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5197 - mean_absolute_error: 0.5197 - val_loss: 0.5768 - val_mean_absolute_error: 0.5768 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5196 - mean_absolute_error: 0.5196 - val_loss: 0.5767 - val_mean_absolute_error: 0.5767 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5195 - mean_absolute_error: 0.5195 - val_loss: 0.5767 - val_mean_absolute_error: 0.5767 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5195 - mean_absolute_error: 0.5195 - val_loss: 0.5767 - val_mean_absolute_error: 0.5767 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5766 - val_mean_absolute_error: 0.5766 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5765 - val_mean_absolute_error: 0.5765 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5194 - mean_absolute_error: 0.5194 - val_loss: 0.5765 - val_mean_absolute_error: 0.5765 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5193 - mean_absolute_error: 0.5193 - val_loss: 0.5765 - val_mean_absolute_error: 0.5765 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5193 - mean_absolute_error: 0.5193 - val_loss: 0.5764 - val_mean_absolute_error: 0.5764 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5193 - mean_absolute_error: 0.5193 - val_loss: 0.5764 - val_mean_absolute_error: 0.5764 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5192 - mean_absolute_error: 0.5192 - val_loss: 0.5763 - val_mean_absolute_error: 0.5763 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5763 - val_mean_absolute_error: 0.5763 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5762 - val_mean_absolute_error: 0.5762 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5191 - mean_absolute_error: 0.5191 - val_loss: 0.5761 - val_mean_absolute_error: 0.5761 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5761 - val_mean_absolute_error: 0.5761 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5761 - val_mean_absolute_error: 0.5761 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5760 - val_mean_absolute_error: 0.5760 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5190 - mean_absolute_error: 0.5190 - val_loss: 0.5760 - val_mean_absolute_error: 0.5760 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5189 - mean_absolute_error: 0.5189 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5188 - mean_absolute_error: 0.5188 - val_loss: 0.5758 - val_mean_absolute_error: 0.5758 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5187 - mean_absolute_error: 0.5187 - val_loss: 0.5757 - val_mean_absolute_error: 0.5757 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5187 - mean_absolute_error: 0.5187 - val_loss: 0.5757 - val_mean_absolute_error: 0.5757 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5757 - val_mean_absolute_error: 0.5757 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5755 - val_mean_absolute_error: 0.5755 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5755 - val_mean_absolute_error: 0.5755 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5186 - mean_absolute_error: 0.5186 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5185 - mean_absolute_error: 0.5185 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5185 - mean_absolute_error: 0.5185 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5753 - val_mean_absolute_error: 0.5753 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5184 - mean_absolute_error: 0.5184 - val_loss: 0.5753 - val_mean_absolute_error: 0.5753 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5183 - mean_absolute_error: 0.5183 - val_loss: 0.5753 - val_mean_absolute_error: 0.5753 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5183 - mean_absolute_error: 0.5183 - val_loss: 0.5752 - val_mean_absolute_error: 0.5752 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5182 - mean_absolute_error: 0.5182 - val_loss: 0.5752 - val_mean_absolute_error: 0.5752 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5183 - mean_absolute_error: 0.5183 - val_loss: 0.5750 - val_mean_absolute_error: 0.5750 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5182 - mean_absolute_error: 0.5182 - val_loss: 0.5751 - val_mean_absolute_error: 0.5751 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5750 - val_mean_absolute_error: 0.5750 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5750 - val_mean_absolute_error: 0.5750 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5181 - mean_absolute_error: 0.5181 - val_loss: 0.5749 - val_mean_absolute_error: 0.5749 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5749 - val_mean_absolute_error: 0.5749 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5749 - val_mean_absolute_error: 0.5749 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5180 - mean_absolute_error: 0.5180 - val_loss: 0.5748 - val_mean_absolute_error: 0.5748 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5747 - val_mean_absolute_error: 0.5747 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5746 - val_mean_absolute_error: 0.5746 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5745 - val_mean_absolute_error: 0.5745 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5178 - mean_absolute_error: 0.5178 - val_loss: 0.5746 - val_mean_absolute_error: 0.5746 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5177 - mean_absolute_error: 0.5177 - val_loss: 0.5745 - val_mean_absolute_error: 0.5745 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5177 - mean_absolute_error: 0.5177 - val_loss: 0.5744 - val_mean_absolute_error: 0.5744 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5176 - mean_absolute_error: 0.5176 - val_loss: 0.5745 - val_mean_absolute_error: 0.5745 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5176 - mean_absolute_error: 0.5176 - val_loss: 0.5745 - val_mean_absolute_error: 0.5745 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5176 - mean_absolute_error: 0.5176 - val_loss: 0.5743 - val_mean_absolute_error: 0.5743 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5743 - val_mean_absolute_error: 0.5743 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5743 - val_mean_absolute_error: 0.5743 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5175 - mean_absolute_error: 0.5175 - val_loss: 0.5742 - val_mean_absolute_error: 0.5742 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5742 - val_mean_absolute_error: 0.5742 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5174 - mean_absolute_error: 0.5174 - val_loss: 0.5742 - val_mean_absolute_error: 0.5742 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5173 - mean_absolute_error: 0.5173 - val_loss: 0.5741 - val_mean_absolute_error: 0.5741 Epoch 366/500 35/35 [==============================] - ETA: 0s - loss: 0.4647 - mean_absolute_error: 0.464 - 0s 2ms/step - loss: 0.5172 - mean_absolute_error: 0.5172 - val_loss: 0.5740 - val_mean_absolute_error: 0.5740 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5172 - mean_absolute_error: 0.5172 - val_loss: 0.5740 - val_mean_absolute_error: 0.5740 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5172 - mean_absolute_error: 0.5172 - val_loss: 0.5739 - val_mean_absolute_error: 0.5739 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5739 - val_mean_absolute_error: 0.5739 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5171 - mean_absolute_error: 0.5171 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.5737 - val_mean_absolute_error: 0.5737 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.5738 - val_mean_absolute_error: 0.5738 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5170 - mean_absolute_error: 0.5170 - val_loss: 0.5737 - val_mean_absolute_error: 0.5737 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mean_absolute_error: 0.5169 - val_loss: 0.5737 - val_mean_absolute_error: 0.5737 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mean_absolute_error: 0.5169 - val_loss: 0.5736 - val_mean_absolute_error: 0.5736 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mean_absolute_error: 0.5169 - val_loss: 0.5736 - val_mean_absolute_error: 0.5736 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5735 - val_mean_absolute_error: 0.5735 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5735 - val_mean_absolute_error: 0.5735 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5168 - mean_absolute_error: 0.5168 - val_loss: 0.5735 - val_mean_absolute_error: 0.5735 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5167 - mean_absolute_error: 0.5167 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5166 - mean_absolute_error: 0.5166 - val_loss: 0.5734 - val_mean_absolute_error: 0.5734 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5166 - mean_absolute_error: 0.5166 - val_loss: 0.5732 - val_mean_absolute_error: 0.5732 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5733 - val_mean_absolute_error: 0.5733 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5165 - mean_absolute_error: 0.5165 - val_loss: 0.5731 - val_mean_absolute_error: 0.5731 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5731 - val_mean_absolute_error: 0.5731 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5731 - val_mean_absolute_error: 0.5731 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5732 - val_mean_absolute_error: 0.5732 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5164 - mean_absolute_error: 0.5164 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5163 - mean_absolute_error: 0.5163 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5163 - mean_absolute_error: 0.5163 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5163 - mean_absolute_error: 0.5163 - val_loss: 0.5730 - val_mean_absolute_error: 0.5730 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5162 - mean_absolute_error: 0.5162 - val_loss: 0.5729 - val_mean_absolute_error: 0.5729 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5162 - mean_absolute_error: 0.5162 - val_loss: 0.5729 - val_mean_absolute_error: 0.5729 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5162 - mean_absolute_error: 0.5162 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5162 - mean_absolute_error: 0.5162 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 405/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5161 - mean_absolute_error: 0.5161 - val_loss: 0.5728 - val_mean_absolute_error: 0.5728 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5727 - val_mean_absolute_error: 0.5727 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5726 - val_mean_absolute_error: 0.5726 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5726 - val_mean_absolute_error: 0.5726 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5160 - mean_absolute_error: 0.5160 - val_loss: 0.5726 - val_mean_absolute_error: 0.5726 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5725 - val_mean_absolute_error: 0.5725 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5725 - val_mean_absolute_error: 0.5725 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5725 - val_mean_absolute_error: 0.5725 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5725 - val_mean_absolute_error: 0.5725 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5159 - mean_absolute_error: 0.5159 - val_loss: 0.5724 - val_mean_absolute_error: 0.5724 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5724 - val_mean_absolute_error: 0.5724 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5723 - val_mean_absolute_error: 0.5723 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5158 - mean_absolute_error: 0.5158 - val_loss: 0.5724 - val_mean_absolute_error: 0.5724 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5722 - val_mean_absolute_error: 0.5722 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5723 - val_mean_absolute_error: 0.5723 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5157 - mean_absolute_error: 0.5157 - val_loss: 0.5722 - val_mean_absolute_error: 0.5722 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5722 - val_mean_absolute_error: 0.5722 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5721 - val_mean_absolute_error: 0.5721 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5722 - val_mean_absolute_error: 0.5722 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5722 - val_mean_absolute_error: 0.5722 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5720 - val_mean_absolute_error: 0.5720 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5156 - mean_absolute_error: 0.5156 - val_loss: 0.5720 - val_mean_absolute_error: 0.5720 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5720 - val_mean_absolute_error: 0.5720 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5720 - val_mean_absolute_error: 0.5720 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5719 - val_mean_absolute_error: 0.5719 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5719 - val_mean_absolute_error: 0.5719 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5719 - val_mean_absolute_error: 0.5719 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5154 - mean_absolute_error: 0.5154 - val_loss: 0.5719 - val_mean_absolute_error: 0.5719 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5718 - val_mean_absolute_error: 0.5718 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5718 - val_mean_absolute_error: 0.5718 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5718 - val_mean_absolute_error: 0.5718 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5153 - mean_absolute_error: 0.5153 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5152 - mean_absolute_error: 0.5152 - val_loss: 0.5717 - val_mean_absolute_error: 0.5717 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5716 - val_mean_absolute_error: 0.5716 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5715 - val_mean_absolute_error: 0.5715 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5715 - val_mean_absolute_error: 0.5715 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5715 - val_mean_absolute_error: 0.5715 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5715 - val_mean_absolute_error: 0.5715 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5150 - mean_absolute_error: 0.5150 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5713 - val_mean_absolute_error: 0.5713 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5713 - val_mean_absolute_error: 0.5713 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5713 - val_mean_absolute_error: 0.5713 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5714 - val_mean_absolute_error: 0.5714 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5149 - mean_absolute_error: 0.5149 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5713 - val_mean_absolute_error: 0.5713 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5712 - val_mean_absolute_error: 0.5712 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5147 - mean_absolute_error: 0.5147 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5711 - val_mean_absolute_error: 0.5711 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5146 - mean_absolute_error: 0.5146 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5710 - val_mean_absolute_error: 0.5710 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5709 - val_mean_absolute_error: 0.5709 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5145 - mean_absolute_error: 0.5145 - val_loss: 0.5709 - val_mean_absolute_error: 0.5709 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5709 - val_mean_absolute_error: 0.5709 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5709 - val_mean_absolute_error: 0.5709 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5144 - mean_absolute_error: 0.5144 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5708 - val_mean_absolute_error: 0.5708 Epoch 482/500 35/35 [==============================] - ETA: 0s - loss: 0.5028 - mean_absolute_error: 0.502 - 0s 2ms/step - loss: 0.5143 - mean_absolute_error: 0.5143 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5707 - val_mean_absolute_error: 0.5707 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5142 - mean_absolute_error: 0.5142 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5141 - mean_absolute_error: 0.5141 - val_loss: 0.5706 - val_mean_absolute_error: 0.5706 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5139 - mean_absolute_error: 0.5139 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5139 - mean_absolute_error: 0.5139 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5139 - mean_absolute_error: 0.5139 - val_loss: 0.5703 - val_mean_absolute_error: 0.5703 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5139 - mean_absolute_error: 0.5139 - val_loss: 0.5704 - val_mean_absolute_error: 0.5704 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 3.3539 - mean_absolute_error: 3.3539 - val_loss: 0.7043 - val_mean_absolute_error: 0.7043 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7070 - mean_absolute_error: 0.7070 - val_loss: 0.6568 - val_mean_absolute_error: 0.6568 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6912 - mean_absolute_error: 0.6912 - val_loss: 0.6902 - val_mean_absolute_error: 0.6902 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6745 - mean_absolute_error: 0.6745 - val_loss: 0.6670 - val_mean_absolute_error: 0.6670 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6737 - mean_absolute_error: 0.6737 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6710 - mean_absolute_error: 0.6710 - val_loss: 0.6846 - val_mean_absolute_error: 0.6846 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6998 - mean_absolute_error: 0.6998 - val_loss: 0.7226 - val_mean_absolute_error: 0.7226 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6884 - mean_absolute_error: 0.6884 - val_loss: 0.7158 - val_mean_absolute_error: 0.7158 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.7372 - val_mean_absolute_error: 0.7372 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6926 - mean_absolute_error: 0.6926 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6831 - mean_absolute_error: 0.6831 - val_loss: 0.6625 - val_mean_absolute_error: 0.6625 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6923 - mean_absolute_error: 0.6923 - val_loss: 0.7177 - val_mean_absolute_error: 0.7177 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6834 - mean_absolute_error: 0.6834 - val_loss: 0.6700 - val_mean_absolute_error: 0.6700 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6805 - mean_absolute_error: 0.6805 - val_loss: 0.6664 - val_mean_absolute_error: 0.6664 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6693 - mean_absolute_error: 0.6693 - val_loss: 0.6604 - val_mean_absolute_error: 0.6604 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6844 - mean_absolute_error: 0.6844 - val_loss: 0.6864 - val_mean_absolute_error: 0.6864 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6772 - mean_absolute_error: 0.6772 - val_loss: 0.7409 - val_mean_absolute_error: 0.7409 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6907 - mean_absolute_error: 0.6907 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6725 - mean_absolute_error: 0.6725 - val_loss: 0.6685 - val_mean_absolute_error: 0.6685 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6994 - mean_absolute_error: 0.6994 - val_loss: 0.7234 - val_mean_absolute_error: 0.7234 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.6654 - val_mean_absolute_error: 0.6654 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6765 - mean_absolute_error: 0.6765 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6922 - mean_absolute_error: 0.6922 - val_loss: 0.7076 - val_mean_absolute_error: 0.7076 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6966 - mean_absolute_error: 0.6966 - val_loss: 0.6977 - val_mean_absolute_error: 0.6977 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6838 - mean_absolute_error: 0.6838 - val_loss: 0.7404 - val_mean_absolute_error: 0.7404 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6943 - mean_absolute_error: 0.6943 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6790 - mean_absolute_error: 0.6790 - val_loss: 0.7318 - val_mean_absolute_error: 0.7318 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6934 - mean_absolute_error: 0.6934 - val_loss: 0.6732 - val_mean_absolute_error: 0.6732 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6849 - mean_absolute_error: 0.6849 - val_loss: 0.7195 - val_mean_absolute_error: 0.7195 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6873 - mean_absolute_error: 0.6873 - val_loss: 0.6701 - val_mean_absolute_error: 0.6701 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6861 - mean_absolute_error: 0.6861 - val_loss: 0.7236 - val_mean_absolute_error: 0.7236 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6858 - mean_absolute_error: 0.6858 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6810 - mean_absolute_error: 0.6810 - val_loss: 0.7926 - val_mean_absolute_error: 0.7926 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6831 - mean_absolute_error: 0.6831 - val_loss: 0.6729 - val_mean_absolute_error: 0.6729 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6775 - mean_absolute_error: 0.6775 - val_loss: 0.7288 - val_mean_absolute_error: 0.7288 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7042 - mean_absolute_error: 0.7042 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6732 - mean_absolute_error: 0.6732 - val_loss: 0.6894 - val_mean_absolute_error: 0.6894 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6972 - mean_absolute_error: 0.6972 - val_loss: 0.6675 - val_mean_absolute_error: 0.6675 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6707 - mean_absolute_error: 0.6707 - val_loss: 0.7197 - val_mean_absolute_error: 0.7197 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6826 - mean_absolute_error: 0.6826 - val_loss: 0.6587 - val_mean_absolute_error: 0.6587 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6881 - mean_absolute_error: 0.6881 - val_loss: 0.7160 - val_mean_absolute_error: 0.7160 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6911 - mean_absolute_error: 0.6911 - val_loss: 0.6806 - val_mean_absolute_error: 0.6806 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6806 - mean_absolute_error: 0.6806 - val_loss: 0.6585 - val_mean_absolute_error: 0.6585 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6728 - mean_absolute_error: 0.6728 - val_loss: 0.7157 - val_mean_absolute_error: 0.7157 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6822 - mean_absolute_error: 0.6822 - val_loss: 0.6600 - val_mean_absolute_error: 0.6600 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6756 - mean_absolute_error: 0.6756 - val_loss: 0.6884 - val_mean_absolute_error: 0.6884 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6942 - mean_absolute_error: 0.6942 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6758 - mean_absolute_error: 0.6758 - val_loss: 0.6760 - val_mean_absolute_error: 0.6760 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6941 - mean_absolute_error: 0.6941 - val_loss: 0.6802 - val_mean_absolute_error: 0.6802 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6886 - mean_absolute_error: 0.6886 - val_loss: 0.6618 - val_mean_absolute_error: 0.6618 Epoch 00050: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 2.6425 - mean_absolute_error: 2.6425 - val_loss: 0.7014 - val_mean_absolute_error: 0.7014 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6956 - mean_absolute_error: 0.6956 - val_loss: 0.6586 - val_mean_absolute_error: 0.6586 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6736 - mean_absolute_error: 0.6736 - val_loss: 0.7413 - val_mean_absolute_error: 0.7413 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6927 - mean_absolute_error: 0.6927 - val_loss: 0.6992 - val_mean_absolute_error: 0.6992 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6692 - mean_absolute_error: 0.6692 - val_loss: 0.6940 - val_mean_absolute_error: 0.6940 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6893 - mean_absolute_error: 0.6893 - val_loss: 0.6743 - val_mean_absolute_error: 0.6743 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6867 - mean_absolute_error: 0.6867 - val_loss: 0.6963 - val_mean_absolute_error: 0.6963 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6724 - mean_absolute_error: 0.6724 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6806 - mean_absolute_error: 0.6806 - val_loss: 0.6560 - val_mean_absolute_error: 0.6560 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6917 - mean_absolute_error: 0.6917 - val_loss: 0.6724 - val_mean_absolute_error: 0.6724 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6916 - mean_absolute_error: 0.6916 - val_loss: 0.7088 - val_mean_absolute_error: 0.7088 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7067 - mean_absolute_error: 0.7067 - val_loss: 0.6685 - val_mean_absolute_error: 0.6685 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6987 - mean_absolute_error: 0.6987 - val_loss: 0.6771 - val_mean_absolute_error: 0.6771 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6982 - mean_absolute_error: 0.6982 - val_loss: 0.6722 - val_mean_absolute_error: 0.6722 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6791 - mean_absolute_error: 0.6791 - val_loss: 0.6565 - val_mean_absolute_error: 0.6565 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6762 - mean_absolute_error: 0.6762 - val_loss: 0.6663 - val_mean_absolute_error: 0.6663 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6687 - mean_absolute_error: 0.6687 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6702 - mean_absolute_error: 0.6702 - val_loss: 0.6940 - val_mean_absolute_error: 0.6940 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6755 - mean_absolute_error: 0.6755 - val_loss: 0.6695 - val_mean_absolute_error: 0.6695 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6741 - mean_absolute_error: 0.6741 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6903 - mean_absolute_error: 0.6903 - val_loss: 0.6666 - val_mean_absolute_error: 0.6666 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6983 - mean_absolute_error: 0.6983 - val_loss: 0.7023 - val_mean_absolute_error: 0.7023 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6849 - mean_absolute_error: 0.6849 - val_loss: 0.7278 - val_mean_absolute_error: 0.7278 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7090 - mean_absolute_error: 0.7090 - val_loss: 0.7280 - val_mean_absolute_error: 0.7280 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6990 - mean_absolute_error: 0.6990 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6976 - mean_absolute_error: 0.6976 - val_loss: 0.6876 - val_mean_absolute_error: 0.6876 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6938 - mean_absolute_error: 0.6938 - val_loss: 0.6916 - val_mean_absolute_error: 0.6916 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6729 - mean_absolute_error: 0.6729 - val_loss: 0.6622 - val_mean_absolute_error: 0.6622 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.6629 - val_mean_absolute_error: 0.6629 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6717 - mean_absolute_error: 0.6717 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6708 - mean_absolute_error: 0.6708 - val_loss: 0.6899 - val_mean_absolute_error: 0.6899 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.6819 - val_mean_absolute_error: 0.6819 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6704 - mean_absolute_error: 0.6704 - val_loss: 0.6783 - val_mean_absolute_error: 0.6783 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6968 - mean_absolute_error: 0.6968 - val_loss: 0.6899 - val_mean_absolute_error: 0.6899 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6813 - mean_absolute_error: 0.6813 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6723 - mean_absolute_error: 0.6723 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6773 - mean_absolute_error: 0.6773 - val_loss: 0.7111 - val_mean_absolute_error: 0.7111 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6967 - mean_absolute_error: 0.6967 - val_loss: 0.7020 - val_mean_absolute_error: 0.7020 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6815 - mean_absolute_error: 0.6815 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6767 - mean_absolute_error: 0.6767 - val_loss: 0.6757 - val_mean_absolute_error: 0.6757 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6834 - val_mean_absolute_error: 0.6834 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6879 - mean_absolute_error: 0.6879 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6927 - mean_absolute_error: 0.6927 - val_loss: 0.6652 - val_mean_absolute_error: 0.6652 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6840 - mean_absolute_error: 0.6840 - val_loss: 0.7372 - val_mean_absolute_error: 0.7372 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6820 - mean_absolute_error: 0.6820 - val_loss: 0.6705 - val_mean_absolute_error: 0.6705 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6841 - mean_absolute_error: 0.6841 - val_loss: 0.6768 - val_mean_absolute_error: 0.6768 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6996 - mean_absolute_error: 0.6996 - val_loss: 0.7227 - val_mean_absolute_error: 0.7227 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6859 - mean_absolute_error: 0.6859 - val_loss: 0.6570 - val_mean_absolute_error: 0.6570 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6698 - mean_absolute_error: 0.6698 - val_loss: 0.6589 - val_mean_absolute_error: 0.6589 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6882 - mean_absolute_error: 0.6882 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6930 - mean_absolute_error: 0.6930 - val_loss: 0.6776 - val_mean_absolute_error: 0.6776 Epoch 00052: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 6.0082 - mean_absolute_error: 6.0082 - val_loss: 0.7178 - val_mean_absolute_error: 0.7178 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6943 - mean_absolute_error: 0.6943 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6715 - mean_absolute_error: 0.6715 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6730 - mean_absolute_error: 0.6730 - val_loss: 0.6551 - val_mean_absolute_error: 0.6551 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6682 - mean_absolute_error: 0.6682 - val_loss: 0.6699 - val_mean_absolute_error: 0.6699 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6677 - mean_absolute_error: 0.6677 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6756 - val_mean_absolute_error: 0.6756 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6694 - mean_absolute_error: 0.6694 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6663 - mean_absolute_error: 0.6663 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6802 - mean_absolute_error: 0.6802 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6707 - val_mean_absolute_error: 0.6707 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6668 - mean_absolute_error: 0.6668 - val_loss: 0.6578 - val_mean_absolute_error: 0.6578 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.6761 - val_mean_absolute_error: 0.6761 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6703 - mean_absolute_error: 0.6703 - val_loss: 0.6851 - val_mean_absolute_error: 0.6851 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6770 - mean_absolute_error: 0.6770 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6682 - mean_absolute_error: 0.6682 - val_loss: 0.6546 - val_mean_absolute_error: 0.6546 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6717 - mean_absolute_error: 0.6717 - val_loss: 0.6652 - val_mean_absolute_error: 0.6652 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6736 - mean_absolute_error: 0.6736 - val_loss: 0.6623 - val_mean_absolute_error: 0.6623 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6655 - mean_absolute_error: 0.6655 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6657 - mean_absolute_error: 0.6657 - val_loss: 0.6590 - val_mean_absolute_error: 0.6590 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6679 - mean_absolute_error: 0.6679 - val_loss: 0.6623 - val_mean_absolute_error: 0.6623 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6671 - mean_absolute_error: 0.6671 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6673 - mean_absolute_error: 0.6673 - val_loss: 0.6588 - val_mean_absolute_error: 0.6588 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6680 - mean_absolute_error: 0.6680 - val_loss: 0.6600 - val_mean_absolute_error: 0.6600 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6678 - mean_absolute_error: 0.6678 - val_loss: 0.6634 - val_mean_absolute_error: 0.6634 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6651 - mean_absolute_error: 0.6651 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6699 - mean_absolute_error: 0.6699 - val_loss: 0.6543 - val_mean_absolute_error: 0.6543 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6593 - val_mean_absolute_error: 0.6593 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6678 - mean_absolute_error: 0.6678 - val_loss: 0.6500 - val_mean_absolute_error: 0.6500 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6769 - mean_absolute_error: 0.6769 - val_loss: 0.6591 - val_mean_absolute_error: 0.6591 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6702 - mean_absolute_error: 0.6702 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6581 - val_mean_absolute_error: 0.6581 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6675 - mean_absolute_error: 0.6675 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6561 - val_mean_absolute_error: 0.6561 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6658 - mean_absolute_error: 0.6658 - val_loss: 0.6599 - val_mean_absolute_error: 0.6599 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6657 - mean_absolute_error: 0.6657 - val_loss: 0.6630 - val_mean_absolute_error: 0.6630 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6672 - mean_absolute_error: 0.6672 - val_loss: 0.6555 - val_mean_absolute_error: 0.6555 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6554 - val_mean_absolute_error: 0.6554 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6649 - mean_absolute_error: 0.6649 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6682 - val_mean_absolute_error: 0.6682 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6742 - mean_absolute_error: 0.6742 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6657 - mean_absolute_error: 0.6657 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6535 - val_mean_absolute_error: 0.6535 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.6569 - val_mean_absolute_error: 0.6569 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6576 - val_mean_absolute_error: 0.6576 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6714 - mean_absolute_error: 0.6714 - val_loss: 0.6621 - val_mean_absolute_error: 0.6621 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6693 - mean_absolute_error: 0.6693 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6573 - val_mean_absolute_error: 0.6573 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6546 - val_mean_absolute_error: 0.6546 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6659 - mean_absolute_error: 0.6659 - val_loss: 0.6566 - val_mean_absolute_error: 0.6566 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6657 - mean_absolute_error: 0.6657 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6645 - mean_absolute_error: 0.6645 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6604 - val_mean_absolute_error: 0.6604 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6578 - val_mean_absolute_error: 0.6578 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6659 - mean_absolute_error: 0.6659 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6533 - val_mean_absolute_error: 0.6533 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6545 - val_mean_absolute_error: 0.6545 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6549 - val_mean_absolute_error: 0.6549 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6653 - mean_absolute_error: 0.6653 - val_loss: 0.6558 - val_mean_absolute_error: 0.6558 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6543 - val_mean_absolute_error: 0.6543 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6553 - val_mean_absolute_error: 0.6553 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6538 - val_mean_absolute_error: 0.6538 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6632 - mean_absolute_error: 0.6632 - val_loss: 0.6544 - val_mean_absolute_error: 0.6544 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6510 - val_mean_absolute_error: 0.6510 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6669 - mean_absolute_error: 0.6669 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6681 - val_mean_absolute_error: 0.6681 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6704 - mean_absolute_error: 0.6704 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6639 - mean_absolute_error: 0.6639 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6676 - mean_absolute_error: 0.6676 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.6620 - val_mean_absolute_error: 0.6620 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6685 - mean_absolute_error: 0.6685 - val_loss: 0.6602 - val_mean_absolute_error: 0.6602 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6665 - mean_absolute_error: 0.6665 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6528 - val_mean_absolute_error: 0.6528 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6669 - mean_absolute_error: 0.6669 - val_loss: 0.6542 - val_mean_absolute_error: 0.6542 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6662 - mean_absolute_error: 0.6662 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6563 - val_mean_absolute_error: 0.6563 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6654 - mean_absolute_error: 0.6654 - val_loss: 0.6597 - val_mean_absolute_error: 0.6597 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6552 - val_mean_absolute_error: 0.6552 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6530 - val_mean_absolute_error: 0.6530 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6535 - val_mean_absolute_error: 0.6535 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6557 - val_mean_absolute_error: 0.6557 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6642 - mean_absolute_error: 0.6642 - val_loss: 0.6531 - val_mean_absolute_error: 0.6531 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6543 - val_mean_absolute_error: 0.6543 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6536 - val_mean_absolute_error: 0.6536 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6524 - val_mean_absolute_error: 0.6524 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6550 - val_mean_absolute_error: 0.6550 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6630 - mean_absolute_error: 0.6630 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6576 - val_mean_absolute_error: 0.6576 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6647 - mean_absolute_error: 0.6647 - val_loss: 0.6562 - val_mean_absolute_error: 0.6562 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6646 - mean_absolute_error: 0.6646 - val_loss: 0.6583 - val_mean_absolute_error: 0.6583 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6638 - mean_absolute_error: 0.6638 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6556 - val_mean_absolute_error: 0.6556 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6522 - val_mean_absolute_error: 0.6522 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6512 - val_mean_absolute_error: 0.6512 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6635 - mean_absolute_error: 0.6635 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6508 - val_mean_absolute_error: 0.6508 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6515 - val_mean_absolute_error: 0.6515 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6505 - val_mean_absolute_error: 0.6505 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6520 - val_mean_absolute_error: 0.6520 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.6539 - val_mean_absolute_error: 0.6539 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6506 - val_mean_absolute_error: 0.6506 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6612 - mean_absolute_error: 0.6612 - val_loss: 0.6547 - val_mean_absolute_error: 0.6547 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6529 - val_mean_absolute_error: 0.6529 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6564 - val_mean_absolute_error: 0.6564 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6662 - mean_absolute_error: 0.6662 - val_loss: 0.6527 - val_mean_absolute_error: 0.6527 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6653 - mean_absolute_error: 0.6653 - val_loss: 0.6511 - val_mean_absolute_error: 0.6511 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6513 - val_mean_absolute_error: 0.6513 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6619 - mean_absolute_error: 0.6619 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6534 - val_mean_absolute_error: 0.6534 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.6519 - val_mean_absolute_error: 0.6519 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6523 - val_mean_absolute_error: 0.6523 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6631 - mean_absolute_error: 0.6631 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6624 - mean_absolute_error: 0.6624 - val_loss: 0.6504 - val_mean_absolute_error: 0.6504 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6537 - val_mean_absolute_error: 0.6537 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6643 - mean_absolute_error: 0.6643 - val_loss: 0.6500 - val_mean_absolute_error: 0.6500 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6541 - val_mean_absolute_error: 0.6541 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6626 - mean_absolute_error: 0.6626 - val_loss: 0.6516 - val_mean_absolute_error: 0.6516 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6634 - mean_absolute_error: 0.6634 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6622 - mean_absolute_error: 0.6622 - val_loss: 0.6500 - val_mean_absolute_error: 0.6500 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6503 - val_mean_absolute_error: 0.6503 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6517 - val_mean_absolute_error: 0.6517 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.6507 - val_mean_absolute_error: 0.6507 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6627 - mean_absolute_error: 0.6627 - val_loss: 0.6526 - val_mean_absolute_error: 0.6526 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6514 - val_mean_absolute_error: 0.6514 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6501 - val_mean_absolute_error: 0.6501 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.6502 - val_mean_absolute_error: 0.6502 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6620 - mean_absolute_error: 0.6620 - val_loss: 0.6521 - val_mean_absolute_error: 0.6521 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6628 - mean_absolute_error: 0.6628 - val_loss: 0.6518 - val_mean_absolute_error: 0.6518 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6623 - mean_absolute_error: 0.6623 - val_loss: 0.6509 - val_mean_absolute_error: 0.6509 Epoch 00191: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 2.7324 - mean_absolute_error: 2.7324 - val_loss: 1.3005 - val_mean_absolute_error: 1.3005 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9227 - mean_absolute_error: 0.9227 - val_loss: 0.8445 - val_mean_absolute_error: 0.8445 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6787 - mean_absolute_error: 0.6787 - val_loss: 0.7117 - val_mean_absolute_error: 0.7117 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6060 - mean_absolute_error: 0.6060 - val_loss: 0.6595 - val_mean_absolute_error: 0.6595 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5770 - mean_absolute_error: 0.5770 - val_loss: 0.6264 - val_mean_absolute_error: 0.6264 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5514 - mean_absolute_error: 0.5514 - val_loss: 0.6048 - val_mean_absolute_error: 0.6048 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5388 - mean_absolute_error: 0.5388 - val_loss: 0.5945 - val_mean_absolute_error: 0.5945 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5307 - mean_absolute_error: 0.5307 - val_loss: 0.5861 - val_mean_absolute_error: 0.5861 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5248 - mean_absolute_error: 0.5248 - val_loss: 0.5797 - val_mean_absolute_error: 0.5797 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5196 - mean_absolute_error: 0.5196 - val_loss: 0.5754 - val_mean_absolute_error: 0.5754 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5155 - mean_absolute_error: 0.5155 - val_loss: 0.5705 - val_mean_absolute_error: 0.5705 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5134 - mean_absolute_error: 0.5134 - val_loss: 0.5671 - val_mean_absolute_error: 0.5671 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5112 - mean_absolute_error: 0.5112 - val_loss: 0.5660 - val_mean_absolute_error: 0.5660 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5084 - mean_absolute_error: 0.5084 - val_loss: 0.5640 - val_mean_absolute_error: 0.5640 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5065 - mean_absolute_error: 0.5065 - val_loss: 0.5593 - val_mean_absolute_error: 0.5593 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5045 - mean_absolute_error: 0.5045 - val_loss: 0.5601 - val_mean_absolute_error: 0.5601 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5039 - mean_absolute_error: 0.5039 - val_loss: 0.5576 - val_mean_absolute_error: 0.5576 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5026 - mean_absolute_error: 0.5026 - val_loss: 0.5552 - val_mean_absolute_error: 0.5552 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5020 - mean_absolute_error: 0.5020 - val_loss: 0.5545 - val_mean_absolute_error: 0.5545 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5000 - mean_absolute_error: 0.5000 - val_loss: 0.5530 - val_mean_absolute_error: 0.5530 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4987 - mean_absolute_error: 0.4987 - val_loss: 0.5508 - val_mean_absolute_error: 0.5508 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5497 - val_mean_absolute_error: 0.5497 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4969 - mean_absolute_error: 0.4969 - val_loss: 0.5498 - val_mean_absolute_error: 0.5498 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4962 - mean_absolute_error: 0.4962 - val_loss: 0.5487 - val_mean_absolute_error: 0.5487 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5481 - val_mean_absolute_error: 0.5481 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4947 - mean_absolute_error: 0.4947 - val_loss: 0.5464 - val_mean_absolute_error: 0.5464 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4937 - mean_absolute_error: 0.4937 - val_loss: 0.5461 - val_mean_absolute_error: 0.5461 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5452 - val_mean_absolute_error: 0.5452 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4929 - mean_absolute_error: 0.4929 - val_loss: 0.5458 - val_mean_absolute_error: 0.5458 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4926 - mean_absolute_error: 0.4926 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5453 - val_mean_absolute_error: 0.5453 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5436 - val_mean_absolute_error: 0.5436 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5446 - val_mean_absolute_error: 0.5446 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5447 - val_mean_absolute_error: 0.5447 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.5438 - val_mean_absolute_error: 0.5438 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5437 - val_mean_absolute_error: 0.5437 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4900 - mean_absolute_error: 0.4900 - val_loss: 0.5445 - val_mean_absolute_error: 0.5445 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4891 - mean_absolute_error: 0.4891 - val_loss: 0.5435 - val_mean_absolute_error: 0.5435 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.5428 - val_mean_absolute_error: 0.5428 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4888 - mean_absolute_error: 0.4888 - val_loss: 0.5437 - val_mean_absolute_error: 0.5437 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5427 - val_mean_absolute_error: 0.5427 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4879 - mean_absolute_error: 0.4879 - val_loss: 0.5431 - val_mean_absolute_error: 0.5431 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4875 - mean_absolute_error: 0.4875 - val_loss: 0.5423 - val_mean_absolute_error: 0.5423 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5423 - val_mean_absolute_error: 0.5423 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5415 - val_mean_absolute_error: 0.5415 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5416 - val_mean_absolute_error: 0.5416 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5418 - val_mean_absolute_error: 0.5418 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.5415 - val_mean_absolute_error: 0.5415 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5414 - val_mean_absolute_error: 0.5414 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4853 - mean_absolute_error: 0.4853 - val_loss: 0.5416 - val_mean_absolute_error: 0.5416 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4854 - mean_absolute_error: 0.4854 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4850 - mean_absolute_error: 0.4850 - val_loss: 0.5412 - val_mean_absolute_error: 0.5412 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4848 - mean_absolute_error: 0.4848 - val_loss: 0.5415 - val_mean_absolute_error: 0.5415 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4846 - mean_absolute_error: 0.4846 - val_loss: 0.5410 - val_mean_absolute_error: 0.5410 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5408 - val_mean_absolute_error: 0.5408 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5405 - val_mean_absolute_error: 0.5405 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4840 - mean_absolute_error: 0.4840 - val_loss: 0.5402 - val_mean_absolute_error: 0.5402 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5400 - val_mean_absolute_error: 0.5400 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5403 - val_mean_absolute_error: 0.5403 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5400 - val_mean_absolute_error: 0.5400 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5398 - val_mean_absolute_error: 0.5398 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.5400 - val_mean_absolute_error: 0.5400 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5395 - val_mean_absolute_error: 0.5395 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5396 - val_mean_absolute_error: 0.5396 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5390 - val_mean_absolute_error: 0.5390 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mean_absolute_error: 0.4828 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5392 - val_mean_absolute_error: 0.5392 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5391 - val_mean_absolute_error: 0.5391 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5386 - val_mean_absolute_error: 0.5386 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4817 - mean_absolute_error: 0.4817 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4817 - mean_absolute_error: 0.4817 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4817 - mean_absolute_error: 0.4817 - val_loss: 0.5385 - val_mean_absolute_error: 0.5385 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5382 - val_mean_absolute_error: 0.5382 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5378 - val_mean_absolute_error: 0.5378 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5381 - val_mean_absolute_error: 0.5381 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5376 - val_mean_absolute_error: 0.5376 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4809 - mean_absolute_error: 0.4809 - val_loss: 0.5383 - val_mean_absolute_error: 0.5383 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4807 - mean_absolute_error: 0.4807 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.5376 - val_mean_absolute_error: 0.5376 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4801 - mean_absolute_error: 0.4801 - val_loss: 0.5376 - val_mean_absolute_error: 0.5376 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.5375 - val_mean_absolute_error: 0.5375 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4798 - mean_absolute_error: 0.4798 - val_loss: 0.5372 - val_mean_absolute_error: 0.5372 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4795 - mean_absolute_error: 0.4795 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4794 - mean_absolute_error: 0.4794 - val_loss: 0.5370 - val_mean_absolute_error: 0.5370 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5368 - val_mean_absolute_error: 0.5368 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5369 - val_mean_absolute_error: 0.5369 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5366 - val_mean_absolute_error: 0.5366 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5367 - val_mean_absolute_error: 0.5367 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5365 - val_mean_absolute_error: 0.5365 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5365 - val_mean_absolute_error: 0.5365 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5364 - val_mean_absolute_error: 0.5364 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5357 - val_mean_absolute_error: 0.5357 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4787 - mean_absolute_error: 0.4787 - val_loss: 0.5356 - val_mean_absolute_error: 0.5356 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5363 - val_mean_absolute_error: 0.5363 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5356 - val_mean_absolute_error: 0.5356 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5355 - val_mean_absolute_error: 0.5355 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5358 - val_mean_absolute_error: 0.5358 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4783 - mean_absolute_error: 0.4783 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.5356 - val_mean_absolute_error: 0.5356 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5351 - val_mean_absolute_error: 0.5351 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5354 - val_mean_absolute_error: 0.5354 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4779 - mean_absolute_error: 0.4779 - val_loss: 0.5350 - val_mean_absolute_error: 0.5350 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5352 - val_mean_absolute_error: 0.5352 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5348 - val_mean_absolute_error: 0.5348 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5348 - val_mean_absolute_error: 0.5348 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5347 - val_mean_absolute_error: 0.5347 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4777 - mean_absolute_error: 0.4777 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.5346 - val_mean_absolute_error: 0.5346 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4775 - mean_absolute_error: 0.4775 - val_loss: 0.5345 - val_mean_absolute_error: 0.5345 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4774 - mean_absolute_error: 0.4774 - val_loss: 0.5344 - val_mean_absolute_error: 0.5344 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5340 - val_mean_absolute_error: 0.5340 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5339 - val_mean_absolute_error: 0.5339 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5341 - val_mean_absolute_error: 0.5341 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5337 - val_mean_absolute_error: 0.5337 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5338 - val_mean_absolute_error: 0.5338 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5335 - val_mean_absolute_error: 0.5335 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5332 - val_mean_absolute_error: 0.5332 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5331 - val_mean_absolute_error: 0.5331 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5333 - val_mean_absolute_error: 0.5333 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5330 - val_mean_absolute_error: 0.5330 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5330 - val_mean_absolute_error: 0.5330 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5329 - val_mean_absolute_error: 0.5329 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.5328 - val_mean_absolute_error: 0.5328 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5325 - val_mean_absolute_error: 0.5325 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mean_absolute_error: 0.4760 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4758 - mean_absolute_error: 0.4758 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5322 - val_mean_absolute_error: 0.5322 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5321 - val_mean_absolute_error: 0.5321 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5318 - val_mean_absolute_error: 0.5318 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5319 - val_mean_absolute_error: 0.5319 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4753 - mean_absolute_error: 0.4753 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5315 - val_mean_absolute_error: 0.5315 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5314 - val_mean_absolute_error: 0.5314 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5313 - val_mean_absolute_error: 0.5313 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5316 - val_mean_absolute_error: 0.5316 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5313 - val_mean_absolute_error: 0.5313 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5312 - val_mean_absolute_error: 0.5312 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5311 - val_mean_absolute_error: 0.5311 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5310 - val_mean_absolute_error: 0.5310 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5309 - val_mean_absolute_error: 0.5309 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5308 - val_mean_absolute_error: 0.5308 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5304 - val_mean_absolute_error: 0.5304 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4742 - mean_absolute_error: 0.4742 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5303 - val_mean_absolute_error: 0.5303 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5301 - val_mean_absolute_error: 0.5301 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5296 - val_mean_absolute_error: 0.5296 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 368/500 35/35 [==============================] - ETA: 0s - loss: 0.4269 - mean_absolute_error: 0.426 - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5295 - val_mean_absolute_error: 0.5295 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5294 - val_mean_absolute_error: 0.5294 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5293 - val_mean_absolute_error: 0.5293 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5292 - val_mean_absolute_error: 0.5292 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5291 - val_mean_absolute_error: 0.5291 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.5290 - val_mean_absolute_error: 0.5290 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.1916 - mean_absolute_error: 5.1916 - val_loss: 5.0053 - val_mean_absolute_error: 5.0053 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 4.6723 - mean_absolute_error: 4.6723 - val_loss: 4.3140 - val_mean_absolute_error: 4.3140 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 3.6298 - mean_absolute_error: 3.6298 - val_loss: 2.9147 - val_mean_absolute_error: 2.9147 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 2.0450 - mean_absolute_error: 2.0450 - val_loss: 1.7091 - val_mean_absolute_error: 1.7091 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3955 - mean_absolute_error: 1.3955 - val_loss: 1.3524 - val_mean_absolute_error: 1.3524 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1697 - mean_absolute_error: 1.1697 - val_loss: 1.2032 - val_mean_absolute_error: 1.2032 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0734 - mean_absolute_error: 1.0734 - val_loss: 1.1307 - val_mean_absolute_error: 1.1307 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0189 - mean_absolute_error: 1.0189 - val_loss: 1.0744 - val_mean_absolute_error: 1.0744 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9675 - mean_absolute_error: 0.9675 - val_loss: 1.0260 - val_mean_absolute_error: 1.0260 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9218 - mean_absolute_error: 0.9218 - val_loss: 0.9819 - val_mean_absolute_error: 0.9819 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8789 - mean_absolute_error: 0.8789 - val_loss: 0.9417 - val_mean_absolute_error: 0.9417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8401 - mean_absolute_error: 0.8401 - val_loss: 0.9103 - val_mean_absolute_error: 0.9103 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8032 - mean_absolute_error: 0.8032 - val_loss: 0.8636 - val_mean_absolute_error: 0.8636 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7735 - mean_absolute_error: 0.7735 - val_loss: 0.8326 - val_mean_absolute_error: 0.8326 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7447 - mean_absolute_error: 0.7447 - val_loss: 0.8078 - val_mean_absolute_error: 0.8078 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7182 - mean_absolute_error: 0.7182 - val_loss: 0.7758 - val_mean_absolute_error: 0.7758 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6919 - mean_absolute_error: 0.6919 - val_loss: 0.7522 - val_mean_absolute_error: 0.7522 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6691 - mean_absolute_error: 0.6691 - val_loss: 0.7317 - val_mean_absolute_error: 0.7317 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6508 - mean_absolute_error: 0.6508 - val_loss: 0.6982 - val_mean_absolute_error: 0.6982 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6295 - mean_absolute_error: 0.6295 - val_loss: 0.6780 - val_mean_absolute_error: 0.6780 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6122 - mean_absolute_error: 0.6122 - val_loss: 0.6619 - val_mean_absolute_error: 0.6619 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5976 - mean_absolute_error: 0.5976 - val_loss: 0.6476 - val_mean_absolute_error: 0.6476 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5837 - mean_absolute_error: 0.5837 - val_loss: 0.6301 - val_mean_absolute_error: 0.6301 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5762 - mean_absolute_error: 0.5762 - val_loss: 0.6186 - val_mean_absolute_error: 0.6186 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5643 - mean_absolute_error: 0.5643 - val_loss: 0.6060 - val_mean_absolute_error: 0.6060 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5558 - mean_absolute_error: 0.5558 - val_loss: 0.6017 - val_mean_absolute_error: 0.6017 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5472 - mean_absolute_error: 0.5472 - val_loss: 0.5864 - val_mean_absolute_error: 0.5864 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5393 - mean_absolute_error: 0.5393 - val_loss: 0.5773 - val_mean_absolute_error: 0.5773 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5298 - mean_absolute_error: 0.5298 - val_loss: 0.5693 - val_mean_absolute_error: 0.5693 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.5650 - val_mean_absolute_error: 0.5650 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5179 - mean_absolute_error: 0.5179 - val_loss: 0.5576 - val_mean_absolute_error: 0.5576 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5151 - mean_absolute_error: 0.5151 - val_loss: 0.5538 - val_mean_absolute_error: 0.5538 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5101 - mean_absolute_error: 0.5101 - val_loss: 0.5473 - val_mean_absolute_error: 0.5473 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5095 - mean_absolute_error: 0.5095 - val_loss: 0.5450 - val_mean_absolute_error: 0.5450 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5063 - mean_absolute_error: 0.5063 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5029 - mean_absolute_error: 0.5029 - val_loss: 0.5463 - val_mean_absolute_error: 0.5463 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5075 - mean_absolute_error: 0.5075 - val_loss: 0.5317 - val_mean_absolute_error: 0.5317 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5035 - mean_absolute_error: 0.5035 - val_loss: 0.5299 - val_mean_absolute_error: 0.5299 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4978 - mean_absolute_error: 0.4978 - val_loss: 0.5255 - val_mean_absolute_error: 0.5255 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4976 - mean_absolute_error: 0.4976 - val_loss: 0.5269 - val_mean_absolute_error: 0.5269 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4997 - mean_absolute_error: 0.4997 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4966 - mean_absolute_error: 0.4966 - val_loss: 0.5186 - val_mean_absolute_error: 0.5186 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mean_absolute_error: 0.4934 - val_loss: 0.5198 - val_mean_absolute_error: 0.5198 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4931 - mean_absolute_error: 0.4931 - val_loss: 0.5159 - val_mean_absolute_error: 0.5159 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5122 - val_mean_absolute_error: 0.5122 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4897 - mean_absolute_error: 0.4897 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4921 - mean_absolute_error: 0.4921 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4874 - mean_absolute_error: 0.4874 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4873 - mean_absolute_error: 0.4873 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4896 - mean_absolute_error: 0.4896 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4839 - mean_absolute_error: 0.4839 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4869 - mean_absolute_error: 0.4869 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4905 - mean_absolute_error: 0.4905 - val_loss: 0.5092 - val_mean_absolute_error: 0.5092 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4852 - mean_absolute_error: 0.4852 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4816 - mean_absolute_error: 0.4816 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4821 - mean_absolute_error: 0.4821 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4802 - mean_absolute_error: 0.4802 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4853 - mean_absolute_error: 0.4853 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4800 - mean_absolute_error: 0.4800 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4762 - mean_absolute_error: 0.4762 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 88/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 89/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4665 - mean_absolute_error: 0.4665 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4664 - mean_absolute_error: 0.4664 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4666 - mean_absolute_error: 0.4666 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4659 - mean_absolute_error: 0.4659 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mean_absolute_error: 0.4622 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4651 - mean_absolute_error: 0.4651 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4632 - mean_absolute_error: 0.4632 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4631 - mean_absolute_error: 0.4631 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4615 - mean_absolute_error: 0.4615 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4641 - mean_absolute_error: 0.4641 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4600 - mean_absolute_error: 0.4600 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4609 - mean_absolute_error: 0.4609 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4594 - mean_absolute_error: 0.4594 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4628 - mean_absolute_error: 0.4628 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mean_absolute_error: 0.4595 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4610 - mean_absolute_error: 0.4610 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4604 - mean_absolute_error: 0.4604 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4603 - mean_absolute_error: 0.4603 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4620 - mean_absolute_error: 0.4620 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4612 - mean_absolute_error: 0.4612 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4602 - mean_absolute_error: 0.4602 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4585 - mean_absolute_error: 0.4585 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4611 - mean_absolute_error: 0.4611 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4580 - mean_absolute_error: 0.4580 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4587 - mean_absolute_error: 0.4587 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mean_absolute_error: 0.4595 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4585 - mean_absolute_error: 0.4585 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4572 - mean_absolute_error: 0.4572 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4551 - mean_absolute_error: 0.4551 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4564 - mean_absolute_error: 0.4564 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4599 - mean_absolute_error: 0.4599 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4608 - mean_absolute_error: 0.4608 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mean_absolute_error: 0.4563 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mean_absolute_error: 0.4561 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4527 - mean_absolute_error: 0.4527 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4556 - mean_absolute_error: 0.4556 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4535 - mean_absolute_error: 0.4535 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4545 - mean_absolute_error: 0.4545 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4546 - mean_absolute_error: 0.4546 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4541 - mean_absolute_error: 0.4541 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4549 - mean_absolute_error: 0.4549 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4522 - mean_absolute_error: 0.4522 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mean_absolute_error: 0.4533 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4523 - mean_absolute_error: 0.4523 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4529 - mean_absolute_error: 0.4529 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4521 - mean_absolute_error: 0.4521 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4545 - mean_absolute_error: 0.4545 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4543 - mean_absolute_error: 0.4543 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4521 - mean_absolute_error: 0.4521 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4505 - mean_absolute_error: 0.4505 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mean_absolute_error: 0.4533 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4538 - mean_absolute_error: 0.4538 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4529 - mean_absolute_error: 0.4529 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4535 - mean_absolute_error: 0.4535 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4502 - mean_absolute_error: 0.4502 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4520 - mean_absolute_error: 0.4520 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4519 - mean_absolute_error: 0.4519 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4512 - mean_absolute_error: 0.4512 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4496 - mean_absolute_error: 0.4496 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4503 - mean_absolute_error: 0.4503 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4512 - mean_absolute_error: 0.4512 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4504 - mean_absolute_error: 0.4504 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4524 - mean_absolute_error: 0.4524 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mean_absolute_error: 0.4508 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4532 - mean_absolute_error: 0.4532 - val_loss: 0.5075 - val_mean_absolute_error: 0.5075 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mean_absolute_error: 0.4533 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4494 - mean_absolute_error: 0.4494 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4494 - mean_absolute_error: 0.4494 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4490 - mean_absolute_error: 0.4490 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4515 - mean_absolute_error: 0.4515 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4475 - mean_absolute_error: 0.4475 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4501 - mean_absolute_error: 0.4501 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4473 - mean_absolute_error: 0.4473 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4492 - mean_absolute_error: 0.4492 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4474 - mean_absolute_error: 0.4474 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4470 - mean_absolute_error: 0.4470 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4497 - mean_absolute_error: 0.4497 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mean_absolute_error: 0.4461 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mean_absolute_error: 0.4461 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4501 - mean_absolute_error: 0.4501 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4455 - mean_absolute_error: 0.4455 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4495 - mean_absolute_error: 0.4495 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4494 - mean_absolute_error: 0.4494 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4449 - mean_absolute_error: 0.4449 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4471 - mean_absolute_error: 0.4471 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4451 - mean_absolute_error: 0.4451 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4466 - mean_absolute_error: 0.4466 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4467 - mean_absolute_error: 0.4467 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mean_absolute_error: 0.4461 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4445 - mean_absolute_error: 0.4445 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mean_absolute_error: 0.4461 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4469 - mean_absolute_error: 0.4469 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4456 - mean_absolute_error: 0.4456 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4484 - mean_absolute_error: 0.4484 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4459 - mean_absolute_error: 0.4459 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4448 - mean_absolute_error: 0.4448 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4451 - mean_absolute_error: 0.4451 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4446 - mean_absolute_error: 0.4446 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.5054 - val_mean_absolute_error: 0.5054 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4479 - mean_absolute_error: 0.4479 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4447 - mean_absolute_error: 0.4447 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4436 - mean_absolute_error: 0.4436 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4435 - mean_absolute_error: 0.4435 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4448 - mean_absolute_error: 0.4448 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4442 - mean_absolute_error: 0.4442 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4425 - mean_absolute_error: 0.4425 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4425 - mean_absolute_error: 0.4425 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4446 - mean_absolute_error: 0.4446 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4423 - mean_absolute_error: 0.4423 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4440 - mean_absolute_error: 0.4440 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4459 - mean_absolute_error: 0.4459 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4447 - mean_absolute_error: 0.4447 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4429 - mean_absolute_error: 0.4429 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4430 - mean_absolute_error: 0.4430 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4426 - mean_absolute_error: 0.4426 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4423 - mean_absolute_error: 0.4423 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4456 - mean_absolute_error: 0.4456 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4439 - mean_absolute_error: 0.4439 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4444 - mean_absolute_error: 0.4444 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4422 - mean_absolute_error: 0.4422 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4440 - mean_absolute_error: 0.4440 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4446 - mean_absolute_error: 0.4446 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4454 - mean_absolute_error: 0.4454 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4420 - mean_absolute_error: 0.4420 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4430 - mean_absolute_error: 0.4430 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4418 - mean_absolute_error: 0.4418 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4458 - mean_absolute_error: 0.4458 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4431 - mean_absolute_error: 0.4431 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4422 - mean_absolute_error: 0.4422 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4441 - mean_absolute_error: 0.4441 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4435 - mean_absolute_error: 0.4435 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4415 - mean_absolute_error: 0.4415 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4418 - mean_absolute_error: 0.4418 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4430 - mean_absolute_error: 0.4430 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4450 - mean_absolute_error: 0.4450 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4407 - mean_absolute_error: 0.4407 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4405 - mean_absolute_error: 0.4405 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4400 - mean_absolute_error: 0.4400 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4417 - mean_absolute_error: 0.4417 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4421 - mean_absolute_error: 0.4421 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4438 - mean_absolute_error: 0.4438 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4387 - mean_absolute_error: 0.4387 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4401 - mean_absolute_error: 0.4401 - val_loss: 0.5060 - val_mean_absolute_error: 0.5060 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mean_absolute_error: 0.4410 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4404 - mean_absolute_error: 0.4404 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4397 - mean_absolute_error: 0.4397 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4390 - mean_absolute_error: 0.4390 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4397 - mean_absolute_error: 0.4397 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4419 - mean_absolute_error: 0.4419 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mean_absolute_error: 0.4464 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 343/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4390 - mean_absolute_error: 0.4390 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4382 - mean_absolute_error: 0.4382 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4368 - mean_absolute_error: 0.4368 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4417 - mean_absolute_error: 0.4417 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4433 - mean_absolute_error: 0.4433 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4385 - mean_absolute_error: 0.4385 - val_loss: 0.5064 - val_mean_absolute_error: 0.5064 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4371 - mean_absolute_error: 0.4371 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4389 - mean_absolute_error: 0.4389 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4382 - mean_absolute_error: 0.4382 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4399 - mean_absolute_error: 0.4399 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4363 - mean_absolute_error: 0.4363 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4375 - mean_absolute_error: 0.4375 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4388 - mean_absolute_error: 0.4388 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4387 - mean_absolute_error: 0.4387 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4347 - mean_absolute_error: 0.4347 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4374 - mean_absolute_error: 0.4374 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4365 - mean_absolute_error: 0.4365 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4351 - mean_absolute_error: 0.4351 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4358 - mean_absolute_error: 0.4358 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4374 - mean_absolute_error: 0.4374 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4388 - mean_absolute_error: 0.4388 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4366 - mean_absolute_error: 0.4366 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4353 - mean_absolute_error: 0.4353 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4418 - mean_absolute_error: 0.4418 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4360 - mean_absolute_error: 0.4360 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4366 - mean_absolute_error: 0.4366 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4359 - mean_absolute_error: 0.4359 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4349 - mean_absolute_error: 0.4349 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4360 - mean_absolute_error: 0.4360 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4361 - mean_absolute_error: 0.4361 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4345 - mean_absolute_error: 0.4345 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4370 - mean_absolute_error: 0.4370 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4343 - mean_absolute_error: 0.4343 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4343 - mean_absolute_error: 0.4343 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4381 - mean_absolute_error: 0.4381 - val_loss: 0.5076 - val_mean_absolute_error: 0.5076 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4351 - mean_absolute_error: 0.4351 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4326 - mean_absolute_error: 0.4326 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4336 - mean_absolute_error: 0.4336 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4332 - mean_absolute_error: 0.4332 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mean_absolute_error: 0.4318 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4329 - mean_absolute_error: 0.4329 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4317 - mean_absolute_error: 0.4317 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4362 - mean_absolute_error: 0.4362 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mean_absolute_error: 0.4318 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4350 - mean_absolute_error: 0.4350 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4320 - mean_absolute_error: 0.4320 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4310 - mean_absolute_error: 0.4310 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.5047 - val_mean_absolute_error: 0.5047 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4428 - mean_absolute_error: 0.4428 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4325 - mean_absolute_error: 0.4325 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4309 - mean_absolute_error: 0.4309 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4316 - mean_absolute_error: 0.4316 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4319 - mean_absolute_error: 0.4319 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4307 - mean_absolute_error: 0.4307 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4337 - mean_absolute_error: 0.4337 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4342 - mean_absolute_error: 0.4342 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4316 - mean_absolute_error: 0.4316 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4306 - mean_absolute_error: 0.4306 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4316 - mean_absolute_error: 0.4316 - val_loss: 0.5073 - val_mean_absolute_error: 0.5073 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4340 - mean_absolute_error: 0.4340 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4324 - mean_absolute_error: 0.4324 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4325 - mean_absolute_error: 0.4325 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4325 - mean_absolute_error: 0.4325 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4309 - mean_absolute_error: 0.4309 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.5031 - val_mean_absolute_error: 0.5031 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4334 - mean_absolute_error: 0.4334 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4307 - mean_absolute_error: 0.4307 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4294 - mean_absolute_error: 0.4294 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4302 - mean_absolute_error: 0.4302 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4293 - mean_absolute_error: 0.4293 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4293 - mean_absolute_error: 0.4293 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4310 - mean_absolute_error: 0.4310 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4307 - mean_absolute_error: 0.4307 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4320 - mean_absolute_error: 0.4320 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4334 - mean_absolute_error: 0.4334 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mean_absolute_error: 0.4318 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4290 - mean_absolute_error: 0.4290 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4330 - mean_absolute_error: 0.4330 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4286 - mean_absolute_error: 0.4286 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.5055 - val_mean_absolute_error: 0.5055 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4295 - mean_absolute_error: 0.4295 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4275 - mean_absolute_error: 0.4275 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4290 - mean_absolute_error: 0.4290 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4285 - mean_absolute_error: 0.4285 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4328 - mean_absolute_error: 0.4328 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4289 - mean_absolute_error: 0.4289 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4282 - mean_absolute_error: 0.4282 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4270 - mean_absolute_error: 0.4270 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4278 - mean_absolute_error: 0.4278 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4323 - mean_absolute_error: 0.4323 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4269 - mean_absolute_error: 0.4269 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.5138 - val_mean_absolute_error: 0.5138 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4273 - mean_absolute_error: 0.4273 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4294 - mean_absolute_error: 0.4294 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4260 - mean_absolute_error: 0.4260 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4291 - mean_absolute_error: 0.4291 - val_loss: 0.5059 - val_mean_absolute_error: 0.5059 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4282 - mean_absolute_error: 0.4282 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4278 - mean_absolute_error: 0.4278 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4288 - mean_absolute_error: 0.4288 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4294 - mean_absolute_error: 0.4294 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4274 - mean_absolute_error: 0.4274 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4319 - mean_absolute_error: 0.4319 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4288 - mean_absolute_error: 0.4288 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4276 - mean_absolute_error: 0.4276 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4296 - mean_absolute_error: 0.4296 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4268 - mean_absolute_error: 0.4268 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4254 - mean_absolute_error: 0.4254 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4258 - mean_absolute_error: 0.4258 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4264 - mean_absolute_error: 0.4264 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4291 - mean_absolute_error: 0.4291 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4256 - mean_absolute_error: 0.4256 - val_loss: 0.5067 - val_mean_absolute_error: 0.5067 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4288 - mean_absolute_error: 0.4288 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.5423 - mean_absolute_error: 5.5423 - val_loss: 5.4223 - val_mean_absolute_error: 5.4223 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.3019 - mean_absolute_error: 5.3019 - val_loss: 5.1364 - val_mean_absolute_error: 5.1364 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 4.9811 - mean_absolute_error: 4.9811 - val_loss: 4.7719 - val_mean_absolute_error: 4.7719 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 4.5373 - mean_absolute_error: 4.5373 - val_loss: 4.2306 - val_mean_absolute_error: 4.2306 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 3.9670 - mean_absolute_error: 3.9670 - val_loss: 3.6718 - val_mean_absolute_error: 3.6718 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 3.3922 - mean_absolute_error: 3.3922 - val_loss: 3.1289 - val_mean_absolute_error: 3.1289 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 2.8267 - mean_absolute_error: 2.8267 - val_loss: 2.6405 - val_mean_absolute_error: 2.6405 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 2.3120 - mean_absolute_error: 2.3120 - val_loss: 2.2645 - val_mean_absolute_error: 2.2645 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 1.9713 - mean_absolute_error: 1.9713 - val_loss: 2.0451 - val_mean_absolute_error: 2.0451 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 1.7761 - mean_absolute_error: 1.7761 - val_loss: 1.8990 - val_mean_absolute_error: 1.8990 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 1.6642 - mean_absolute_error: 1.6642 - val_loss: 1.7988 - val_mean_absolute_error: 1.7988 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 1.5879 - mean_absolute_error: 1.5879 - val_loss: 1.7202 - val_mean_absolute_error: 1.7202 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 1.5291 - mean_absolute_error: 1.5291 - val_loss: 1.6581 - val_mean_absolute_error: 1.6581 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 1.4793 - mean_absolute_error: 1.4793 - val_loss: 1.6073 - val_mean_absolute_error: 1.6073 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 1.4374 - mean_absolute_error: 1.4374 - val_loss: 1.5617 - val_mean_absolute_error: 1.5617 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3986 - mean_absolute_error: 1.3986 - val_loss: 1.5219 - val_mean_absolute_error: 1.5219 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3647 - mean_absolute_error: 1.3647 - val_loss: 1.4863 - val_mean_absolute_error: 1.4863 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3340 - mean_absolute_error: 1.3340 - val_loss: 1.4550 - val_mean_absolute_error: 1.4550 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3047 - mean_absolute_error: 1.3047 - val_loss: 1.4273 - val_mean_absolute_error: 1.4273 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2801 - mean_absolute_error: 1.2801 - val_loss: 1.3987 - val_mean_absolute_error: 1.3987 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2561 - mean_absolute_error: 1.2561 - val_loss: 1.3756 - val_mean_absolute_error: 1.3756 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2351 - mean_absolute_error: 1.2351 - val_loss: 1.3522 - val_mean_absolute_error: 1.3522 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 1.2147 - mean_absolute_error: 1.2147 - val_loss: 1.3328 - val_mean_absolute_error: 1.3328 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1959 - mean_absolute_error: 1.1959 - val_loss: 1.3131 - val_mean_absolute_error: 1.3131 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1786 - mean_absolute_error: 1.1786 - val_loss: 1.2947 - val_mean_absolute_error: 1.2947 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1631 - mean_absolute_error: 1.1631 - val_loss: 1.2767 - val_mean_absolute_error: 1.2767 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1482 - mean_absolute_error: 1.1482 - val_loss: 1.2617 - val_mean_absolute_error: 1.2617 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1342 - mean_absolute_error: 1.1342 - val_loss: 1.2454 - val_mean_absolute_error: 1.2454 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1206 - mean_absolute_error: 1.1206 - val_loss: 1.2319 - val_mean_absolute_error: 1.2319 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1088 - mean_absolute_error: 1.1088 - val_loss: 1.2189 - val_mean_absolute_error: 1.2189 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0969 - mean_absolute_error: 1.0969 - val_loss: 1.2070 - val_mean_absolute_error: 1.2070 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0860 - mean_absolute_error: 1.0860 - val_loss: 1.1956 - val_mean_absolute_error: 1.1956 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0751 - mean_absolute_error: 1.0751 - val_loss: 1.1823 - val_mean_absolute_error: 1.1823 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0645 - mean_absolute_error: 1.0645 - val_loss: 1.1717 - val_mean_absolute_error: 1.1717 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0549 - mean_absolute_error: 1.0549 - val_loss: 1.1598 - val_mean_absolute_error: 1.1598 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0464 - mean_absolute_error: 1.0464 - val_loss: 1.1509 - val_mean_absolute_error: 1.1509 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0366 - mean_absolute_error: 1.0366 - val_loss: 1.1393 - val_mean_absolute_error: 1.1393 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0286 - mean_absolute_error: 1.0286 - val_loss: 1.1312 - val_mean_absolute_error: 1.1312 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0207 - mean_absolute_error: 1.0207 - val_loss: 1.1210 - val_mean_absolute_error: 1.1210 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0127 - mean_absolute_error: 1.0127 - val_loss: 1.1137 - val_mean_absolute_error: 1.1137 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0058 - mean_absolute_error: 1.0058 - val_loss: 1.1058 - val_mean_absolute_error: 1.1058 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9990 - mean_absolute_error: 0.9990 - val_loss: 1.0968 - val_mean_absolute_error: 1.0968 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9922 - mean_absolute_error: 0.9922 - val_loss: 1.0898 - val_mean_absolute_error: 1.0898 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9862 - mean_absolute_error: 0.9862 - val_loss: 1.0828 - val_mean_absolute_error: 1.0828 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9797 - mean_absolute_error: 0.9797 - val_loss: 1.0753 - val_mean_absolute_error: 1.0753 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9739 - mean_absolute_error: 0.9739 - val_loss: 1.0688 - val_mean_absolute_error: 1.0688 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9682 - mean_absolute_error: 0.9682 - val_loss: 1.0627 - val_mean_absolute_error: 1.0627 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9625 - mean_absolute_error: 0.9625 - val_loss: 1.0565 - val_mean_absolute_error: 1.0565 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9574 - mean_absolute_error: 0.9574 - val_loss: 1.0511 - val_mean_absolute_error: 1.0511 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9521 - mean_absolute_error: 0.9521 - val_loss: 1.0449 - val_mean_absolute_error: 1.0449 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9470 - mean_absolute_error: 0.9470 - val_loss: 1.0393 - val_mean_absolute_error: 1.0393 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9423 - mean_absolute_error: 0.9423 - val_loss: 1.0336 - val_mean_absolute_error: 1.0336 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9379 - mean_absolute_error: 0.9379 - val_loss: 1.0303 - val_mean_absolute_error: 1.0303 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9327 - mean_absolute_error: 0.9327 - val_loss: 1.0244 - val_mean_absolute_error: 1.0244 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9285 - mean_absolute_error: 0.9285 - val_loss: 1.0201 - val_mean_absolute_error: 1.0201 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9245 - mean_absolute_error: 0.9245 - val_loss: 1.0147 - val_mean_absolute_error: 1.0147 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9203 - mean_absolute_error: 0.9203 - val_loss: 1.0115 - val_mean_absolute_error: 1.0115 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9162 - mean_absolute_error: 0.9162 - val_loss: 1.0065 - val_mean_absolute_error: 1.0065 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9124 - mean_absolute_error: 0.9124 - val_loss: 1.0021 - val_mean_absolute_error: 1.0021 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9087 - mean_absolute_error: 0.9087 - val_loss: 0.9991 - val_mean_absolute_error: 0.9991 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9049 - mean_absolute_error: 0.9049 - val_loss: 0.9948 - val_mean_absolute_error: 0.9948 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9016 - mean_absolute_error: 0.9016 - val_loss: 0.9907 - val_mean_absolute_error: 0.9907 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8979 - mean_absolute_error: 0.8979 - val_loss: 0.9868 - val_mean_absolute_error: 0.9868 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8948 - mean_absolute_error: 0.8948 - val_loss: 0.9835 - val_mean_absolute_error: 0.9835 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8913 - mean_absolute_error: 0.8913 - val_loss: 0.9794 - val_mean_absolute_error: 0.9794 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8882 - mean_absolute_error: 0.8882 - val_loss: 0.9759 - val_mean_absolute_error: 0.9759 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8849 - mean_absolute_error: 0.8849 - val_loss: 0.9721 - val_mean_absolute_error: 0.9721 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8819 - mean_absolute_error: 0.8819 - val_loss: 0.9691 - val_mean_absolute_error: 0.9691 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8787 - mean_absolute_error: 0.8787 - val_loss: 0.9656 - val_mean_absolute_error: 0.9656 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8757 - mean_absolute_error: 0.8757 - val_loss: 0.9621 - val_mean_absolute_error: 0.9621 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8729 - mean_absolute_error: 0.8729 - val_loss: 0.9594 - val_mean_absolute_error: 0.9594 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8699 - mean_absolute_error: 0.8699 - val_loss: 0.9556 - val_mean_absolute_error: 0.9556 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8673 - mean_absolute_error: 0.8673 - val_loss: 0.9532 - val_mean_absolute_error: 0.9532 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8640 - mean_absolute_error: 0.8640 - val_loss: 0.9497 - val_mean_absolute_error: 0.9497 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8614 - mean_absolute_error: 0.8614 - val_loss: 0.9464 - val_mean_absolute_error: 0.9464 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8587 - mean_absolute_error: 0.8587 - val_loss: 0.9434 - val_mean_absolute_error: 0.9434 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8560 - mean_absolute_error: 0.8560 - val_loss: 0.9400 - val_mean_absolute_error: 0.9400 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8535 - mean_absolute_error: 0.8535 - val_loss: 0.9370 - val_mean_absolute_error: 0.9370 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8508 - mean_absolute_error: 0.8508 - val_loss: 0.9342 - val_mean_absolute_error: 0.9342 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8481 - mean_absolute_error: 0.8481 - val_loss: 0.9312 - val_mean_absolute_error: 0.9312 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8456 - mean_absolute_error: 0.8456 - val_loss: 0.9284 - val_mean_absolute_error: 0.9284 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8432 - mean_absolute_error: 0.8432 - val_loss: 0.9258 - val_mean_absolute_error: 0.9258 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8407 - mean_absolute_error: 0.8407 - val_loss: 0.9227 - val_mean_absolute_error: 0.9227 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8381 - mean_absolute_error: 0.8381 - val_loss: 0.9204 - val_mean_absolute_error: 0.9204 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8357 - mean_absolute_error: 0.8357 - val_loss: 0.9179 - val_mean_absolute_error: 0.9179 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8333 - mean_absolute_error: 0.8333 - val_loss: 0.9148 - val_mean_absolute_error: 0.9148 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8310 - mean_absolute_error: 0.8310 - val_loss: 0.9128 - val_mean_absolute_error: 0.9128 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8287 - mean_absolute_error: 0.8287 - val_loss: 0.9101 - val_mean_absolute_error: 0.9101 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8266 - mean_absolute_error: 0.8266 - val_loss: 0.9083 - val_mean_absolute_error: 0.9083 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8243 - mean_absolute_error: 0.8243 - val_loss: 0.9054 - val_mean_absolute_error: 0.9054 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8221 - mean_absolute_error: 0.8221 - val_loss: 0.9035 - val_mean_absolute_error: 0.9035 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8200 - mean_absolute_error: 0.8200 - val_loss: 0.9012 - val_mean_absolute_error: 0.9012 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8178 - mean_absolute_error: 0.8178 - val_loss: 0.8986 - val_mean_absolute_error: 0.8986 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8157 - mean_absolute_error: 0.8157 - val_loss: 0.8964 - val_mean_absolute_error: 0.8964 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8137 - mean_absolute_error: 0.8137 - val_loss: 0.8942 - val_mean_absolute_error: 0.8942 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8118 - mean_absolute_error: 0.8118 - val_loss: 0.8926 - val_mean_absolute_error: 0.8926 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8098 - mean_absolute_error: 0.8098 - val_loss: 0.8902 - val_mean_absolute_error: 0.8902 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8079 - mean_absolute_error: 0.8079 - val_loss: 0.8883 - val_mean_absolute_error: 0.8883 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8061 - mean_absolute_error: 0.8061 - val_loss: 0.8860 - val_mean_absolute_error: 0.8860 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8041 - mean_absolute_error: 0.8041 - val_loss: 0.8842 - val_mean_absolute_error: 0.8842 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8021 - mean_absolute_error: 0.8021 - val_loss: 0.8822 - val_mean_absolute_error: 0.8822 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8003 - mean_absolute_error: 0.8003 - val_loss: 0.8802 - val_mean_absolute_error: 0.8802 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7985 - mean_absolute_error: 0.7985 - val_loss: 0.8783 - val_mean_absolute_error: 0.8783 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7968 - mean_absolute_error: 0.7968 - val_loss: 0.8761 - val_mean_absolute_error: 0.8761 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7951 - mean_absolute_error: 0.7951 - val_loss: 0.8749 - val_mean_absolute_error: 0.8749 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7933 - mean_absolute_error: 0.7933 - val_loss: 0.8726 - val_mean_absolute_error: 0.8726 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7918 - mean_absolute_error: 0.7918 - val_loss: 0.8705 - val_mean_absolute_error: 0.8705 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7901 - mean_absolute_error: 0.7901 - val_loss: 0.8689 - val_mean_absolute_error: 0.8689 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7884 - mean_absolute_error: 0.7884 - val_loss: 0.8672 - val_mean_absolute_error: 0.8672 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7869 - mean_absolute_error: 0.7869 - val_loss: 0.8655 - val_mean_absolute_error: 0.8655 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7854 - mean_absolute_error: 0.7854 - val_loss: 0.8637 - val_mean_absolute_error: 0.8637 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7838 - mean_absolute_error: 0.7838 - val_loss: 0.8616 - val_mean_absolute_error: 0.8616 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7822 - mean_absolute_error: 0.7822 - val_loss: 0.8599 - val_mean_absolute_error: 0.8599 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7808 - mean_absolute_error: 0.7808 - val_loss: 0.8581 - val_mean_absolute_error: 0.8581 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7793 - mean_absolute_error: 0.7793 - val_loss: 0.8569 - val_mean_absolute_error: 0.8569 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7779 - mean_absolute_error: 0.7779 - val_loss: 0.8551 - val_mean_absolute_error: 0.8551 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7764 - mean_absolute_error: 0.7764 - val_loss: 0.8533 - val_mean_absolute_error: 0.8533 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7751 - mean_absolute_error: 0.7751 - val_loss: 0.8517 - val_mean_absolute_error: 0.8517 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7736 - mean_absolute_error: 0.7736 - val_loss: 0.8500 - val_mean_absolute_error: 0.8500 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7722 - mean_absolute_error: 0.7722 - val_loss: 0.8481 - val_mean_absolute_error: 0.8481 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7708 - mean_absolute_error: 0.7708 - val_loss: 0.8470 - val_mean_absolute_error: 0.8470 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7694 - mean_absolute_error: 0.7694 - val_loss: 0.8454 - val_mean_absolute_error: 0.8454 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7681 - mean_absolute_error: 0.7681 - val_loss: 0.8436 - val_mean_absolute_error: 0.8436 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7668 - mean_absolute_error: 0.7668 - val_loss: 0.8421 - val_mean_absolute_error: 0.8421 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7655 - mean_absolute_error: 0.7655 - val_loss: 0.8407 - val_mean_absolute_error: 0.8407 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7642 - mean_absolute_error: 0.7642 - val_loss: 0.8395 - val_mean_absolute_error: 0.8395 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7630 - mean_absolute_error: 0.7630 - val_loss: 0.8378 - val_mean_absolute_error: 0.8378 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7617 - mean_absolute_error: 0.7617 - val_loss: 0.8360 - val_mean_absolute_error: 0.8360 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7604 - mean_absolute_error: 0.7604 - val_loss: 0.8350 - val_mean_absolute_error: 0.8350 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7592 - mean_absolute_error: 0.7592 - val_loss: 0.8336 - val_mean_absolute_error: 0.8336 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7582 - mean_absolute_error: 0.7582 - val_loss: 0.8325 - val_mean_absolute_error: 0.8325 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7568 - mean_absolute_error: 0.7568 - val_loss: 0.8309 - val_mean_absolute_error: 0.8309 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7556 - mean_absolute_error: 0.7556 - val_loss: 0.8296 - val_mean_absolute_error: 0.8296 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7544 - mean_absolute_error: 0.7544 - val_loss: 0.8282 - val_mean_absolute_error: 0.8282 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7533 - mean_absolute_error: 0.7533 - val_loss: 0.8272 - val_mean_absolute_error: 0.8272 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7520 - mean_absolute_error: 0.7520 - val_loss: 0.8257 - val_mean_absolute_error: 0.8257 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7509 - mean_absolute_error: 0.7509 - val_loss: 0.8245 - val_mean_absolute_error: 0.8245 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7498 - mean_absolute_error: 0.7498 - val_loss: 0.8233 - val_mean_absolute_error: 0.8233 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7488 - mean_absolute_error: 0.7488 - val_loss: 0.8220 - val_mean_absolute_error: 0.8220 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7476 - mean_absolute_error: 0.7476 - val_loss: 0.8206 - val_mean_absolute_error: 0.8206 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7465 - mean_absolute_error: 0.7465 - val_loss: 0.8192 - val_mean_absolute_error: 0.8192 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7454 - mean_absolute_error: 0.7454 - val_loss: 0.8182 - val_mean_absolute_error: 0.8182 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7443 - mean_absolute_error: 0.7443 - val_loss: 0.8168 - val_mean_absolute_error: 0.8168 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7432 - mean_absolute_error: 0.7432 - val_loss: 0.8155 - val_mean_absolute_error: 0.8155 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7421 - mean_absolute_error: 0.7421 - val_loss: 0.8142 - val_mean_absolute_error: 0.8142 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7411 - mean_absolute_error: 0.7411 - val_loss: 0.8130 - val_mean_absolute_error: 0.8130 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7400 - mean_absolute_error: 0.7400 - val_loss: 0.8121 - val_mean_absolute_error: 0.8121 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7392 - mean_absolute_error: 0.7392 - val_loss: 0.8107 - val_mean_absolute_error: 0.8107 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7381 - mean_absolute_error: 0.7381 - val_loss: 0.8098 - val_mean_absolute_error: 0.8098 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7370 - mean_absolute_error: 0.7370 - val_loss: 0.8086 - val_mean_absolute_error: 0.8086 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7362 - mean_absolute_error: 0.7362 - val_loss: 0.8076 - val_mean_absolute_error: 0.8076 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7351 - mean_absolute_error: 0.7351 - val_loss: 0.8064 - val_mean_absolute_error: 0.8064 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7342 - mean_absolute_error: 0.7342 - val_loss: 0.8051 - val_mean_absolute_error: 0.8051 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7331 - mean_absolute_error: 0.7331 - val_loss: 0.8041 - val_mean_absolute_error: 0.8041 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7322 - mean_absolute_error: 0.7322 - val_loss: 0.8030 - val_mean_absolute_error: 0.8030 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7313 - mean_absolute_error: 0.7313 - val_loss: 0.8020 - val_mean_absolute_error: 0.8020 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7303 - mean_absolute_error: 0.7303 - val_loss: 0.8010 - val_mean_absolute_error: 0.8010 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7294 - mean_absolute_error: 0.7294 - val_loss: 0.7997 - val_mean_absolute_error: 0.7997 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7285 - mean_absolute_error: 0.7285 - val_loss: 0.7991 - val_mean_absolute_error: 0.7991 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7276 - mean_absolute_error: 0.7276 - val_loss: 0.7979 - val_mean_absolute_error: 0.7979 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7266 - mean_absolute_error: 0.7266 - val_loss: 0.7968 - val_mean_absolute_error: 0.7968 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7257 - mean_absolute_error: 0.7257 - val_loss: 0.7960 - val_mean_absolute_error: 0.7960 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7248 - mean_absolute_error: 0.7248 - val_loss: 0.7947 - val_mean_absolute_error: 0.7947 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7239 - mean_absolute_error: 0.7239 - val_loss: 0.7937 - val_mean_absolute_error: 0.7937 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7230 - mean_absolute_error: 0.7230 - val_loss: 0.7928 - val_mean_absolute_error: 0.7928 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7222 - mean_absolute_error: 0.7222 - val_loss: 0.7917 - val_mean_absolute_error: 0.7917 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7214 - mean_absolute_error: 0.7214 - val_loss: 0.7908 - val_mean_absolute_error: 0.7908 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7205 - mean_absolute_error: 0.7205 - val_loss: 0.7898 - val_mean_absolute_error: 0.7898 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7198 - mean_absolute_error: 0.7198 - val_loss: 0.7888 - val_mean_absolute_error: 0.7888 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7189 - mean_absolute_error: 0.7189 - val_loss: 0.7880 - val_mean_absolute_error: 0.7880 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7181 - mean_absolute_error: 0.7181 - val_loss: 0.7868 - val_mean_absolute_error: 0.7868 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7173 - mean_absolute_error: 0.7173 - val_loss: 0.7859 - val_mean_absolute_error: 0.7859 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7165 - mean_absolute_error: 0.7165 - val_loss: 0.7848 - val_mean_absolute_error: 0.7848 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7158 - mean_absolute_error: 0.7158 - val_loss: 0.7838 - val_mean_absolute_error: 0.7838 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7150 - mean_absolute_error: 0.7150 - val_loss: 0.7829 - val_mean_absolute_error: 0.7829 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7142 - mean_absolute_error: 0.7142 - val_loss: 0.7822 - val_mean_absolute_error: 0.7822 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7134 - mean_absolute_error: 0.7134 - val_loss: 0.7811 - val_mean_absolute_error: 0.7811 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7126 - mean_absolute_error: 0.7126 - val_loss: 0.7802 - val_mean_absolute_error: 0.7802 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7119 - mean_absolute_error: 0.7119 - val_loss: 0.7793 - val_mean_absolute_error: 0.7793 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7111 - mean_absolute_error: 0.7111 - val_loss: 0.7785 - val_mean_absolute_error: 0.7785 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7104 - mean_absolute_error: 0.7104 - val_loss: 0.7779 - val_mean_absolute_error: 0.7779 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7097 - mean_absolute_error: 0.7097 - val_loss: 0.7769 - val_mean_absolute_error: 0.7769 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7089 - mean_absolute_error: 0.7089 - val_loss: 0.7759 - val_mean_absolute_error: 0.7759 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7082 - mean_absolute_error: 0.7082 - val_loss: 0.7750 - val_mean_absolute_error: 0.7750 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7075 - mean_absolute_error: 0.7075 - val_loss: 0.7742 - val_mean_absolute_error: 0.7742 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7069 - mean_absolute_error: 0.7069 - val_loss: 0.7734 - val_mean_absolute_error: 0.7734 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7061 - mean_absolute_error: 0.7061 - val_loss: 0.7725 - val_mean_absolute_error: 0.7725 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7054 - mean_absolute_error: 0.7054 - val_loss: 0.7720 - val_mean_absolute_error: 0.7720 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7047 - mean_absolute_error: 0.7047 - val_loss: 0.7709 - val_mean_absolute_error: 0.7709 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7040 - mean_absolute_error: 0.7040 - val_loss: 0.7702 - val_mean_absolute_error: 0.7702 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7033 - mean_absolute_error: 0.7033 - val_loss: 0.7694 - val_mean_absolute_error: 0.7694 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7026 - mean_absolute_error: 0.7026 - val_loss: 0.7686 - val_mean_absolute_error: 0.7686 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7019 - mean_absolute_error: 0.7019 - val_loss: 0.7677 - val_mean_absolute_error: 0.7677 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7013 - mean_absolute_error: 0.7013 - val_loss: 0.7669 - val_mean_absolute_error: 0.7669 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7006 - mean_absolute_error: 0.7006 - val_loss: 0.7661 - val_mean_absolute_error: 0.7661 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7000 - mean_absolute_error: 0.7000 - val_loss: 0.7653 - val_mean_absolute_error: 0.7653 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6993 - mean_absolute_error: 0.6993 - val_loss: 0.7643 - val_mean_absolute_error: 0.7643 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6987 - mean_absolute_error: 0.6987 - val_loss: 0.7636 - val_mean_absolute_error: 0.7636 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6980 - mean_absolute_error: 0.6980 - val_loss: 0.7630 - val_mean_absolute_error: 0.7630 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6974 - mean_absolute_error: 0.6974 - val_loss: 0.7624 - val_mean_absolute_error: 0.7624 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6968 - mean_absolute_error: 0.6968 - val_loss: 0.7615 - val_mean_absolute_error: 0.7615 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6962 - mean_absolute_error: 0.6962 - val_loss: 0.7608 - val_mean_absolute_error: 0.7608 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6955 - mean_absolute_error: 0.6955 - val_loss: 0.7599 - val_mean_absolute_error: 0.7599 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6949 - mean_absolute_error: 0.6949 - val_loss: 0.7592 - val_mean_absolute_error: 0.7592 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6943 - mean_absolute_error: 0.6943 - val_loss: 0.7585 - val_mean_absolute_error: 0.7585 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6937 - mean_absolute_error: 0.6937 - val_loss: 0.7577 - val_mean_absolute_error: 0.7577 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6931 - mean_absolute_error: 0.6931 - val_loss: 0.7568 - val_mean_absolute_error: 0.7568 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6925 - mean_absolute_error: 0.6925 - val_loss: 0.7563 - val_mean_absolute_error: 0.7563 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6919 - mean_absolute_error: 0.6919 - val_loss: 0.7556 - val_mean_absolute_error: 0.7556 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6913 - mean_absolute_error: 0.6913 - val_loss: 0.7549 - val_mean_absolute_error: 0.7549 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6907 - mean_absolute_error: 0.6907 - val_loss: 0.7540 - val_mean_absolute_error: 0.7540 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6901 - mean_absolute_error: 0.6901 - val_loss: 0.7535 - val_mean_absolute_error: 0.7535 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6895 - mean_absolute_error: 0.6895 - val_loss: 0.7528 - val_mean_absolute_error: 0.7528 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6889 - mean_absolute_error: 0.6889 - val_loss: 0.7520 - val_mean_absolute_error: 0.7520 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6883 - mean_absolute_error: 0.6883 - val_loss: 0.7514 - val_mean_absolute_error: 0.7514 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6878 - mean_absolute_error: 0.6878 - val_loss: 0.7509 - val_mean_absolute_error: 0.7509 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6872 - mean_absolute_error: 0.6872 - val_loss: 0.7501 - val_mean_absolute_error: 0.7501 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6866 - mean_absolute_error: 0.6866 - val_loss: 0.7494 - val_mean_absolute_error: 0.7494 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6861 - mean_absolute_error: 0.6861 - val_loss: 0.7485 - val_mean_absolute_error: 0.7485 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6857 - mean_absolute_error: 0.6857 - val_loss: 0.7482 - val_mean_absolute_error: 0.7482 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6850 - mean_absolute_error: 0.6850 - val_loss: 0.7472 - val_mean_absolute_error: 0.7472 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6845 - mean_absolute_error: 0.6845 - val_loss: 0.7466 - val_mean_absolute_error: 0.7466 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6839 - mean_absolute_error: 0.6839 - val_loss: 0.7460 - val_mean_absolute_error: 0.7460 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6833 - mean_absolute_error: 0.6833 - val_loss: 0.7454 - val_mean_absolute_error: 0.7454 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6829 - mean_absolute_error: 0.6829 - val_loss: 0.7447 - val_mean_absolute_error: 0.7447 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6823 - mean_absolute_error: 0.6823 - val_loss: 0.7441 - val_mean_absolute_error: 0.7441 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6818 - mean_absolute_error: 0.6818 - val_loss: 0.7435 - val_mean_absolute_error: 0.7435 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6812 - mean_absolute_error: 0.6812 - val_loss: 0.7428 - val_mean_absolute_error: 0.7428 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6807 - mean_absolute_error: 0.6807 - val_loss: 0.7422 - val_mean_absolute_error: 0.7422 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6802 - mean_absolute_error: 0.6802 - val_loss: 0.7416 - val_mean_absolute_error: 0.7416 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6797 - mean_absolute_error: 0.6797 - val_loss: 0.7410 - val_mean_absolute_error: 0.7410 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6793 - mean_absolute_error: 0.6793 - val_loss: 0.7405 - val_mean_absolute_error: 0.7405 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6787 - mean_absolute_error: 0.6787 - val_loss: 0.7397 - val_mean_absolute_error: 0.7397 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6782 - mean_absolute_error: 0.6782 - val_loss: 0.7392 - val_mean_absolute_error: 0.7392 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6777 - mean_absolute_error: 0.6777 - val_loss: 0.7386 - val_mean_absolute_error: 0.7386 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6773 - mean_absolute_error: 0.6773 - val_loss: 0.7380 - val_mean_absolute_error: 0.7380 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6768 - mean_absolute_error: 0.6768 - val_loss: 0.7375 - val_mean_absolute_error: 0.7375 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6763 - mean_absolute_error: 0.6763 - val_loss: 0.7369 - val_mean_absolute_error: 0.7369 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6758 - mean_absolute_error: 0.6758 - val_loss: 0.7363 - val_mean_absolute_error: 0.7363 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6753 - mean_absolute_error: 0.6753 - val_loss: 0.7356 - val_mean_absolute_error: 0.7356 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6749 - mean_absolute_error: 0.6749 - val_loss: 0.7349 - val_mean_absolute_error: 0.7349 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6744 - mean_absolute_error: 0.6744 - val_loss: 0.7345 - val_mean_absolute_error: 0.7345 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6740 - mean_absolute_error: 0.6740 - val_loss: 0.7340 - val_mean_absolute_error: 0.7340 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6735 - mean_absolute_error: 0.6735 - val_loss: 0.7336 - val_mean_absolute_error: 0.7336 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6731 - mean_absolute_error: 0.6731 - val_loss: 0.7330 - val_mean_absolute_error: 0.7330 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6726 - mean_absolute_error: 0.6726 - val_loss: 0.7323 - val_mean_absolute_error: 0.7323 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6721 - mean_absolute_error: 0.6721 - val_loss: 0.7318 - val_mean_absolute_error: 0.7318 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6717 - mean_absolute_error: 0.6717 - val_loss: 0.7314 - val_mean_absolute_error: 0.7314 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6713 - mean_absolute_error: 0.6713 - val_loss: 0.7309 - val_mean_absolute_error: 0.7309 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6709 - mean_absolute_error: 0.6709 - val_loss: 0.7304 - val_mean_absolute_error: 0.7304 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6704 - mean_absolute_error: 0.6704 - val_loss: 0.7300 - val_mean_absolute_error: 0.7300 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6700 - mean_absolute_error: 0.6700 - val_loss: 0.7295 - val_mean_absolute_error: 0.7295 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6696 - mean_absolute_error: 0.6696 - val_loss: 0.7291 - val_mean_absolute_error: 0.7291 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6692 - mean_absolute_error: 0.6692 - val_loss: 0.7285 - val_mean_absolute_error: 0.7285 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6689 - mean_absolute_error: 0.6689 - val_loss: 0.7283 - val_mean_absolute_error: 0.7283 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6683 - mean_absolute_error: 0.6683 - val_loss: 0.7277 - val_mean_absolute_error: 0.7277 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6680 - mean_absolute_error: 0.6680 - val_loss: 0.7271 - val_mean_absolute_error: 0.7271 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6676 - mean_absolute_error: 0.6676 - val_loss: 0.7267 - val_mean_absolute_error: 0.7267 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6672 - mean_absolute_error: 0.6672 - val_loss: 0.7263 - val_mean_absolute_error: 0.7263 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6668 - mean_absolute_error: 0.6668 - val_loss: 0.7259 - val_mean_absolute_error: 0.7259 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6664 - mean_absolute_error: 0.6664 - val_loss: 0.7254 - val_mean_absolute_error: 0.7254 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6660 - mean_absolute_error: 0.6660 - val_loss: 0.7250 - val_mean_absolute_error: 0.7250 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6656 - mean_absolute_error: 0.6656 - val_loss: 0.7247 - val_mean_absolute_error: 0.7247 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6652 - mean_absolute_error: 0.6652 - val_loss: 0.7241 - val_mean_absolute_error: 0.7241 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6648 - mean_absolute_error: 0.6648 - val_loss: 0.7235 - val_mean_absolute_error: 0.7235 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.7231 - val_mean_absolute_error: 0.7231 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6640 - mean_absolute_error: 0.6640 - val_loss: 0.7227 - val_mean_absolute_error: 0.7227 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6637 - mean_absolute_error: 0.6637 - val_loss: 0.7223 - val_mean_absolute_error: 0.7223 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6633 - mean_absolute_error: 0.6633 - val_loss: 0.7219 - val_mean_absolute_error: 0.7219 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6629 - mean_absolute_error: 0.6629 - val_loss: 0.7214 - val_mean_absolute_error: 0.7214 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6625 - mean_absolute_error: 0.6625 - val_loss: 0.7211 - val_mean_absolute_error: 0.7211 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6621 - mean_absolute_error: 0.6621 - val_loss: 0.7206 - val_mean_absolute_error: 0.7206 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6618 - mean_absolute_error: 0.6618 - val_loss: 0.7203 - val_mean_absolute_error: 0.7203 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6614 - mean_absolute_error: 0.6614 - val_loss: 0.7198 - val_mean_absolute_error: 0.7198 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6610 - mean_absolute_error: 0.6610 - val_loss: 0.7194 - val_mean_absolute_error: 0.7194 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6607 - mean_absolute_error: 0.6607 - val_loss: 0.7190 - val_mean_absolute_error: 0.7190 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6603 - mean_absolute_error: 0.6603 - val_loss: 0.7185 - val_mean_absolute_error: 0.7185 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6599 - mean_absolute_error: 0.6599 - val_loss: 0.7180 - val_mean_absolute_error: 0.7180 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6596 - mean_absolute_error: 0.6596 - val_loss: 0.7177 - val_mean_absolute_error: 0.7177 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6592 - mean_absolute_error: 0.6592 - val_loss: 0.7173 - val_mean_absolute_error: 0.7173 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6589 - mean_absolute_error: 0.6589 - val_loss: 0.7169 - val_mean_absolute_error: 0.7169 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6585 - mean_absolute_error: 0.6585 - val_loss: 0.7162 - val_mean_absolute_error: 0.7162 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6581 - mean_absolute_error: 0.6581 - val_loss: 0.7159 - val_mean_absolute_error: 0.7159 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6578 - mean_absolute_error: 0.6578 - val_loss: 0.7156 - val_mean_absolute_error: 0.7156 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6574 - mean_absolute_error: 0.6574 - val_loss: 0.7152 - val_mean_absolute_error: 0.7152 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6571 - mean_absolute_error: 0.6571 - val_loss: 0.7149 - val_mean_absolute_error: 0.7149 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6567 - mean_absolute_error: 0.6567 - val_loss: 0.7146 - val_mean_absolute_error: 0.7146 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6564 - mean_absolute_error: 0.6564 - val_loss: 0.7140 - val_mean_absolute_error: 0.7140 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6560 - mean_absolute_error: 0.6560 - val_loss: 0.7135 - val_mean_absolute_error: 0.7135 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6557 - mean_absolute_error: 0.6557 - val_loss: 0.7132 - val_mean_absolute_error: 0.7132 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6553 - mean_absolute_error: 0.6553 - val_loss: 0.7128 - val_mean_absolute_error: 0.7128 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6550 - mean_absolute_error: 0.6550 - val_loss: 0.7125 - val_mean_absolute_error: 0.7125 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6547 - mean_absolute_error: 0.6547 - val_loss: 0.7120 - val_mean_absolute_error: 0.7120 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6544 - mean_absolute_error: 0.6544 - val_loss: 0.7115 - val_mean_absolute_error: 0.7115 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6541 - mean_absolute_error: 0.6541 - val_loss: 0.7111 - val_mean_absolute_error: 0.7111 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6537 - mean_absolute_error: 0.6537 - val_loss: 0.7109 - val_mean_absolute_error: 0.7109 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6534 - mean_absolute_error: 0.6534 - val_loss: 0.7104 - val_mean_absolute_error: 0.7104 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6531 - mean_absolute_error: 0.6531 - val_loss: 0.7102 - val_mean_absolute_error: 0.7102 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6527 - mean_absolute_error: 0.6527 - val_loss: 0.7098 - val_mean_absolute_error: 0.7098 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6524 - mean_absolute_error: 0.6524 - val_loss: 0.7093 - val_mean_absolute_error: 0.7093 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6522 - mean_absolute_error: 0.6522 - val_loss: 0.7091 - val_mean_absolute_error: 0.7091 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6518 - mean_absolute_error: 0.6518 - val_loss: 0.7086 - val_mean_absolute_error: 0.7086 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6515 - mean_absolute_error: 0.6515 - val_loss: 0.7083 - val_mean_absolute_error: 0.7083 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6511 - mean_absolute_error: 0.6511 - val_loss: 0.7078 - val_mean_absolute_error: 0.7078 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6508 - mean_absolute_error: 0.6508 - val_loss: 0.7074 - val_mean_absolute_error: 0.7074 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6505 - mean_absolute_error: 0.6505 - val_loss: 0.7071 - val_mean_absolute_error: 0.7071 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6502 - mean_absolute_error: 0.6502 - val_loss: 0.7069 - val_mean_absolute_error: 0.7069 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6499 - mean_absolute_error: 0.6499 - val_loss: 0.7063 - val_mean_absolute_error: 0.7063 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6496 - mean_absolute_error: 0.6496 - val_loss: 0.7059 - val_mean_absolute_error: 0.7059 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6493 - mean_absolute_error: 0.6493 - val_loss: 0.7057 - val_mean_absolute_error: 0.7057 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6490 - mean_absolute_error: 0.6490 - val_loss: 0.7054 - val_mean_absolute_error: 0.7054 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6486 - mean_absolute_error: 0.6486 - val_loss: 0.7050 - val_mean_absolute_error: 0.7050 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6484 - mean_absolute_error: 0.6484 - val_loss: 0.7045 - val_mean_absolute_error: 0.7045 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6480 - mean_absolute_error: 0.6480 - val_loss: 0.7041 - val_mean_absolute_error: 0.7041 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6478 - mean_absolute_error: 0.6478 - val_loss: 0.7038 - val_mean_absolute_error: 0.7038 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6475 - mean_absolute_error: 0.6475 - val_loss: 0.7036 - val_mean_absolute_error: 0.7036 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6471 - mean_absolute_error: 0.6471 - val_loss: 0.7032 - val_mean_absolute_error: 0.7032 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6469 - mean_absolute_error: 0.6469 - val_loss: 0.7027 - val_mean_absolute_error: 0.7027 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6466 - mean_absolute_error: 0.6466 - val_loss: 0.7024 - val_mean_absolute_error: 0.7024 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6462 - mean_absolute_error: 0.6462 - val_loss: 0.7021 - val_mean_absolute_error: 0.7021 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6460 - mean_absolute_error: 0.6460 - val_loss: 0.7017 - val_mean_absolute_error: 0.7017 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6456 - mean_absolute_error: 0.6456 - val_loss: 0.7015 - val_mean_absolute_error: 0.7015 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6453 - mean_absolute_error: 0.6453 - val_loss: 0.7011 - val_mean_absolute_error: 0.7011 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6450 - mean_absolute_error: 0.6450 - val_loss: 0.7007 - val_mean_absolute_error: 0.7007 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6448 - mean_absolute_error: 0.6448 - val_loss: 0.7002 - val_mean_absolute_error: 0.7002 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6445 - mean_absolute_error: 0.6445 - val_loss: 0.6999 - val_mean_absolute_error: 0.6999 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6442 - mean_absolute_error: 0.6442 - val_loss: 0.6998 - val_mean_absolute_error: 0.6998 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6439 - mean_absolute_error: 0.6439 - val_loss: 0.6994 - val_mean_absolute_error: 0.6994 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6436 - mean_absolute_error: 0.6436 - val_loss: 0.6991 - val_mean_absolute_error: 0.6991 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6433 - mean_absolute_error: 0.6433 - val_loss: 0.6987 - val_mean_absolute_error: 0.6987 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6430 - mean_absolute_error: 0.6430 - val_loss: 0.6984 - val_mean_absolute_error: 0.6984 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6427 - mean_absolute_error: 0.6427 - val_loss: 0.6980 - val_mean_absolute_error: 0.6980 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6425 - mean_absolute_error: 0.6425 - val_loss: 0.6976 - val_mean_absolute_error: 0.6976 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6421 - mean_absolute_error: 0.6421 - val_loss: 0.6974 - val_mean_absolute_error: 0.6974 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6419 - mean_absolute_error: 0.6419 - val_loss: 0.6969 - val_mean_absolute_error: 0.6969 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6416 - mean_absolute_error: 0.6416 - val_loss: 0.6967 - val_mean_absolute_error: 0.6967 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6414 - mean_absolute_error: 0.6414 - val_loss: 0.6964 - val_mean_absolute_error: 0.6964 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6411 - mean_absolute_error: 0.6411 - val_loss: 0.6961 - val_mean_absolute_error: 0.6961 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6408 - mean_absolute_error: 0.6408 - val_loss: 0.6957 - val_mean_absolute_error: 0.6957 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6405 - mean_absolute_error: 0.6405 - val_loss: 0.6954 - val_mean_absolute_error: 0.6954 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6403 - mean_absolute_error: 0.6403 - val_loss: 0.6952 - val_mean_absolute_error: 0.6952 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6400 - mean_absolute_error: 0.6400 - val_loss: 0.6947 - val_mean_absolute_error: 0.6947 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6397 - mean_absolute_error: 0.6397 - val_loss: 0.6944 - val_mean_absolute_error: 0.6944 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6394 - mean_absolute_error: 0.6394 - val_loss: 0.6942 - val_mean_absolute_error: 0.6942 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6392 - mean_absolute_error: 0.6392 - val_loss: 0.6939 - val_mean_absolute_error: 0.6939 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6389 - mean_absolute_error: 0.6389 - val_loss: 0.6935 - val_mean_absolute_error: 0.6935 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6386 - mean_absolute_error: 0.6386 - val_loss: 0.6932 - val_mean_absolute_error: 0.6932 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6384 - mean_absolute_error: 0.6384 - val_loss: 0.6930 - val_mean_absolute_error: 0.6930 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6381 - mean_absolute_error: 0.6381 - val_loss: 0.6927 - val_mean_absolute_error: 0.6927 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6379 - mean_absolute_error: 0.6379 - val_loss: 0.6924 - val_mean_absolute_error: 0.6924 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6376 - mean_absolute_error: 0.6376 - val_loss: 0.6921 - val_mean_absolute_error: 0.6921 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6373 - mean_absolute_error: 0.6373 - val_loss: 0.6918 - val_mean_absolute_error: 0.6918 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6371 - mean_absolute_error: 0.6371 - val_loss: 0.6916 - val_mean_absolute_error: 0.6916 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6368 - mean_absolute_error: 0.6368 - val_loss: 0.6914 - val_mean_absolute_error: 0.6914 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6365 - mean_absolute_error: 0.6365 - val_loss: 0.6911 - val_mean_absolute_error: 0.6911 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6363 - mean_absolute_error: 0.6363 - val_loss: 0.6907 - val_mean_absolute_error: 0.6907 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6360 - mean_absolute_error: 0.6360 - val_loss: 0.6904 - val_mean_absolute_error: 0.6904 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6358 - mean_absolute_error: 0.6358 - val_loss: 0.6903 - val_mean_absolute_error: 0.6903 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6355 - mean_absolute_error: 0.6355 - val_loss: 0.6900 - val_mean_absolute_error: 0.6900 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6353 - mean_absolute_error: 0.6353 - val_loss: 0.6898 - val_mean_absolute_error: 0.6898 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6350 - mean_absolute_error: 0.6350 - val_loss: 0.6894 - val_mean_absolute_error: 0.6894 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6348 - mean_absolute_error: 0.6348 - val_loss: 0.6893 - val_mean_absolute_error: 0.6893 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6345 - mean_absolute_error: 0.6345 - val_loss: 0.6890 - val_mean_absolute_error: 0.6890 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6343 - mean_absolute_error: 0.6343 - val_loss: 0.6887 - val_mean_absolute_error: 0.6887 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6340 - mean_absolute_error: 0.6340 - val_loss: 0.6885 - val_mean_absolute_error: 0.6885 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6338 - mean_absolute_error: 0.6338 - val_loss: 0.6882 - val_mean_absolute_error: 0.6882 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6335 - mean_absolute_error: 0.6335 - val_loss: 0.6879 - val_mean_absolute_error: 0.6879 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6333 - mean_absolute_error: 0.6333 - val_loss: 0.6876 - val_mean_absolute_error: 0.6876 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6331 - mean_absolute_error: 0.6331 - val_loss: 0.6875 - val_mean_absolute_error: 0.6875 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6328 - mean_absolute_error: 0.6328 - val_loss: 0.6871 - val_mean_absolute_error: 0.6871 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6326 - mean_absolute_error: 0.6326 - val_loss: 0.6867 - val_mean_absolute_error: 0.6867 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6323 - mean_absolute_error: 0.6323 - val_loss: 0.6865 - val_mean_absolute_error: 0.6865 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6320 - mean_absolute_error: 0.6320 - val_loss: 0.6863 - val_mean_absolute_error: 0.6863 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6318 - mean_absolute_error: 0.6318 - val_loss: 0.6860 - val_mean_absolute_error: 0.6860 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6316 - mean_absolute_error: 0.6316 - val_loss: 0.6857 - val_mean_absolute_error: 0.6857 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6313 - mean_absolute_error: 0.6313 - val_loss: 0.6856 - val_mean_absolute_error: 0.6856 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6311 - mean_absolute_error: 0.6311 - val_loss: 0.6853 - val_mean_absolute_error: 0.6853 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6309 - mean_absolute_error: 0.6309 - val_loss: 0.6849 - val_mean_absolute_error: 0.6849 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6306 - mean_absolute_error: 0.6306 - val_loss: 0.6847 - val_mean_absolute_error: 0.6847 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6304 - mean_absolute_error: 0.6304 - val_loss: 0.6843 - val_mean_absolute_error: 0.6843 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6301 - mean_absolute_error: 0.6301 - val_loss: 0.6842 - val_mean_absolute_error: 0.6842 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6299 - mean_absolute_error: 0.6299 - val_loss: 0.6839 - val_mean_absolute_error: 0.6839 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6297 - mean_absolute_error: 0.6297 - val_loss: 0.6836 - val_mean_absolute_error: 0.6836 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6294 - mean_absolute_error: 0.6294 - val_loss: 0.6834 - val_mean_absolute_error: 0.6834 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6292 - mean_absolute_error: 0.6292 - val_loss: 0.6831 - val_mean_absolute_error: 0.6831 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6290 - mean_absolute_error: 0.6290 - val_loss: 0.6827 - val_mean_absolute_error: 0.6827 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6288 - mean_absolute_error: 0.6288 - val_loss: 0.6825 - val_mean_absolute_error: 0.6825 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6285 - mean_absolute_error: 0.6285 - val_loss: 0.6822 - val_mean_absolute_error: 0.6822 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6283 - mean_absolute_error: 0.6283 - val_loss: 0.6821 - val_mean_absolute_error: 0.6821 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6281 - mean_absolute_error: 0.6281 - val_loss: 0.6817 - val_mean_absolute_error: 0.6817 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6278 - mean_absolute_error: 0.6278 - val_loss: 0.6815 - val_mean_absolute_error: 0.6815 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6276 - mean_absolute_error: 0.6276 - val_loss: 0.6813 - val_mean_absolute_error: 0.6813 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6274 - mean_absolute_error: 0.6274 - val_loss: 0.6809 - val_mean_absolute_error: 0.6809 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6272 - mean_absolute_error: 0.6272 - val_loss: 0.6807 - val_mean_absolute_error: 0.6807 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6269 - mean_absolute_error: 0.6269 - val_loss: 0.6804 - val_mean_absolute_error: 0.6804 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6267 - mean_absolute_error: 0.6267 - val_loss: 0.6802 - val_mean_absolute_error: 0.6802 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6265 - mean_absolute_error: 0.6265 - val_loss: 0.6800 - val_mean_absolute_error: 0.6800 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6263 - mean_absolute_error: 0.6263 - val_loss: 0.6797 - val_mean_absolute_error: 0.6797 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6260 - mean_absolute_error: 0.6260 - val_loss: 0.6794 - val_mean_absolute_error: 0.6794 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6258 - mean_absolute_error: 0.6258 - val_loss: 0.6792 - val_mean_absolute_error: 0.6792 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6256 - mean_absolute_error: 0.6256 - val_loss: 0.6788 - val_mean_absolute_error: 0.6788 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6254 - mean_absolute_error: 0.6254 - val_loss: 0.6786 - val_mean_absolute_error: 0.6786 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6251 - mean_absolute_error: 0.6251 - val_loss: 0.6784 - val_mean_absolute_error: 0.6784 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6249 - mean_absolute_error: 0.6249 - val_loss: 0.6782 - val_mean_absolute_error: 0.6782 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6247 - mean_absolute_error: 0.6247 - val_loss: 0.6779 - val_mean_absolute_error: 0.6779 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6245 - mean_absolute_error: 0.6245 - val_loss: 0.6777 - val_mean_absolute_error: 0.6777 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6243 - mean_absolute_error: 0.6243 - val_loss: 0.6774 - val_mean_absolute_error: 0.6774 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6240 - mean_absolute_error: 0.6240 - val_loss: 0.6772 - val_mean_absolute_error: 0.6772 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6238 - mean_absolute_error: 0.6238 - val_loss: 0.6769 - val_mean_absolute_error: 0.6769 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6236 - mean_absolute_error: 0.6236 - val_loss: 0.6767 - val_mean_absolute_error: 0.6767 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6234 - mean_absolute_error: 0.6234 - val_loss: 0.6765 - val_mean_absolute_error: 0.6765 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6232 - mean_absolute_error: 0.6232 - val_loss: 0.6761 - val_mean_absolute_error: 0.6761 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6230 - mean_absolute_error: 0.6230 - val_loss: 0.6758 - val_mean_absolute_error: 0.6758 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6228 - mean_absolute_error: 0.6228 - val_loss: 0.6757 - val_mean_absolute_error: 0.6757 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6226 - mean_absolute_error: 0.6226 - val_loss: 0.6754 - val_mean_absolute_error: 0.6754 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6223 - mean_absolute_error: 0.6223 - val_loss: 0.6752 - val_mean_absolute_error: 0.6752 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6222 - mean_absolute_error: 0.6222 - val_loss: 0.6749 - val_mean_absolute_error: 0.6749 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6219 - mean_absolute_error: 0.6219 - val_loss: 0.6747 - val_mean_absolute_error: 0.6747 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6217 - mean_absolute_error: 0.6217 - val_loss: 0.6745 - val_mean_absolute_error: 0.6745 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6215 - mean_absolute_error: 0.6215 - val_loss: 0.6743 - val_mean_absolute_error: 0.6743 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6213 - mean_absolute_error: 0.6213 - val_loss: 0.6740 - val_mean_absolute_error: 0.6740 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6211 - mean_absolute_error: 0.6211 - val_loss: 0.6738 - val_mean_absolute_error: 0.6738 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6209 - mean_absolute_error: 0.6209 - val_loss: 0.6735 - val_mean_absolute_error: 0.6735 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6207 - mean_absolute_error: 0.6207 - val_loss: 0.6733 - val_mean_absolute_error: 0.6733 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6205 - mean_absolute_error: 0.6205 - val_loss: 0.6731 - val_mean_absolute_error: 0.6731 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6203 - mean_absolute_error: 0.6203 - val_loss: 0.6729 - val_mean_absolute_error: 0.6729 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6201 - mean_absolute_error: 0.6201 - val_loss: 0.6726 - val_mean_absolute_error: 0.6726 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6199 - mean_absolute_error: 0.6199 - val_loss: 0.6724 - val_mean_absolute_error: 0.6724 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6197 - mean_absolute_error: 0.6197 - val_loss: 0.6722 - val_mean_absolute_error: 0.6722 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6195 - mean_absolute_error: 0.6195 - val_loss: 0.6719 - val_mean_absolute_error: 0.6719 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6193 - mean_absolute_error: 0.6193 - val_loss: 0.6717 - val_mean_absolute_error: 0.6717 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6191 - mean_absolute_error: 0.6191 - val_loss: 0.6715 - val_mean_absolute_error: 0.6715 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6190 - mean_absolute_error: 0.6190 - val_loss: 0.6713 - val_mean_absolute_error: 0.6713 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6187 - mean_absolute_error: 0.6187 - val_loss: 0.6710 - val_mean_absolute_error: 0.6710 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6185 - mean_absolute_error: 0.6185 - val_loss: 0.6708 - val_mean_absolute_error: 0.6708 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6183 - mean_absolute_error: 0.6183 - val_loss: 0.6706 - val_mean_absolute_error: 0.6706 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6181 - mean_absolute_error: 0.6181 - val_loss: 0.6703 - val_mean_absolute_error: 0.6703 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6179 - mean_absolute_error: 0.6179 - val_loss: 0.6702 - val_mean_absolute_error: 0.6702 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6178 - mean_absolute_error: 0.6178 - val_loss: 0.6699 - val_mean_absolute_error: 0.6699 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6175 - mean_absolute_error: 0.6175 - val_loss: 0.6697 - val_mean_absolute_error: 0.6697 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6173 - mean_absolute_error: 0.6173 - val_loss: 0.6695 - val_mean_absolute_error: 0.6695 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6171 - mean_absolute_error: 0.6171 - val_loss: 0.6693 - val_mean_absolute_error: 0.6693 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6169 - mean_absolute_error: 0.6169 - val_loss: 0.6691 - val_mean_absolute_error: 0.6691 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6167 - mean_absolute_error: 0.6167 - val_loss: 0.6688 - val_mean_absolute_error: 0.6688 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6165 - mean_absolute_error: 0.6165 - val_loss: 0.6687 - val_mean_absolute_error: 0.6687 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6164 - mean_absolute_error: 0.6164 - val_loss: 0.6685 - val_mean_absolute_error: 0.6685 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6162 - mean_absolute_error: 0.6162 - val_loss: 0.6682 - val_mean_absolute_error: 0.6682 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6160 - mean_absolute_error: 0.6160 - val_loss: 0.6679 - val_mean_absolute_error: 0.6679 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6158 - mean_absolute_error: 0.6158 - val_loss: 0.6678 - val_mean_absolute_error: 0.6678 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6156 - mean_absolute_error: 0.6156 - val_loss: 0.6675 - val_mean_absolute_error: 0.6675 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6154 - mean_absolute_error: 0.6154 - val_loss: 0.6674 - val_mean_absolute_error: 0.6674 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6152 - mean_absolute_error: 0.6152 - val_loss: 0.6672 - val_mean_absolute_error: 0.6672 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6150 - mean_absolute_error: 0.6150 - val_loss: 0.6669 - val_mean_absolute_error: 0.6669 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6149 - mean_absolute_error: 0.6149 - val_loss: 0.6667 - val_mean_absolute_error: 0.6667 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6147 - mean_absolute_error: 0.6147 - val_loss: 0.6665 - val_mean_absolute_error: 0.6665 Epoch 456/500 35/35 [==============================] - 0s 3ms/step - loss: 0.6145 - mean_absolute_error: 0.6145 - val_loss: 0.6665 - val_mean_absolute_error: 0.6665 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6143 - mean_absolute_error: 0.6143 - val_loss: 0.6661 - val_mean_absolute_error: 0.6661 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6141 - mean_absolute_error: 0.6141 - val_loss: 0.6660 - val_mean_absolute_error: 0.6660 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6139 - mean_absolute_error: 0.6139 - val_loss: 0.6656 - val_mean_absolute_error: 0.6656 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6138 - mean_absolute_error: 0.6138 - val_loss: 0.6655 - val_mean_absolute_error: 0.6655 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6136 - mean_absolute_error: 0.6136 - val_loss: 0.6653 - val_mean_absolute_error: 0.6653 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6134 - mean_absolute_error: 0.6134 - val_loss: 0.6651 - val_mean_absolute_error: 0.6651 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6132 - mean_absolute_error: 0.6132 - val_loss: 0.6650 - val_mean_absolute_error: 0.6650 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6130 - mean_absolute_error: 0.6130 - val_loss: 0.6647 - val_mean_absolute_error: 0.6647 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6129 - mean_absolute_error: 0.6129 - val_loss: 0.6645 - val_mean_absolute_error: 0.6645 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6127 - mean_absolute_error: 0.6127 - val_loss: 0.6644 - val_mean_absolute_error: 0.6644 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6125 - mean_absolute_error: 0.6125 - val_loss: 0.6642 - val_mean_absolute_error: 0.6642 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6124 - mean_absolute_error: 0.6124 - val_loss: 0.6638 - val_mean_absolute_error: 0.6638 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6122 - mean_absolute_error: 0.6122 - val_loss: 0.6637 - val_mean_absolute_error: 0.6637 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6120 - mean_absolute_error: 0.6120 - val_loss: 0.6635 - val_mean_absolute_error: 0.6635 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6119 - mean_absolute_error: 0.6119 - val_loss: 0.6635 - val_mean_absolute_error: 0.6635 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6116 - mean_absolute_error: 0.6116 - val_loss: 0.6631 - val_mean_absolute_error: 0.6631 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6115 - mean_absolute_error: 0.6115 - val_loss: 0.6629 - val_mean_absolute_error: 0.6629 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6113 - mean_absolute_error: 0.6113 - val_loss: 0.6627 - val_mean_absolute_error: 0.6627 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6111 - mean_absolute_error: 0.6111 - val_loss: 0.6625 - val_mean_absolute_error: 0.6625 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6110 - mean_absolute_error: 0.6110 - val_loss: 0.6623 - val_mean_absolute_error: 0.6623 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6108 - mean_absolute_error: 0.6108 - val_loss: 0.6621 - val_mean_absolute_error: 0.6621 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6106 - mean_absolute_error: 0.6106 - val_loss: 0.6619 - val_mean_absolute_error: 0.6619 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6104 - mean_absolute_error: 0.6104 - val_loss: 0.6617 - val_mean_absolute_error: 0.6617 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6103 - mean_absolute_error: 0.6103 - val_loss: 0.6615 - val_mean_absolute_error: 0.6615 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6102 - mean_absolute_error: 0.6102 - val_loss: 0.6614 - val_mean_absolute_error: 0.6614 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6100 - mean_absolute_error: 0.6100 - val_loss: 0.6611 - val_mean_absolute_error: 0.6611 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6098 - mean_absolute_error: 0.6098 - val_loss: 0.6610 - val_mean_absolute_error: 0.6610 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6096 - mean_absolute_error: 0.6096 - val_loss: 0.6607 - val_mean_absolute_error: 0.6607 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6095 - mean_absolute_error: 0.6095 - val_loss: 0.6605 - val_mean_absolute_error: 0.6605 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6093 - mean_absolute_error: 0.6093 - val_loss: 0.6603 - val_mean_absolute_error: 0.6603 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6091 - mean_absolute_error: 0.6091 - val_loss: 0.6601 - val_mean_absolute_error: 0.6601 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6090 - mean_absolute_error: 0.6090 - val_loss: 0.6598 - val_mean_absolute_error: 0.6598 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6088 - mean_absolute_error: 0.6088 - val_loss: 0.6596 - val_mean_absolute_error: 0.6596 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6086 - mean_absolute_error: 0.6086 - val_loss: 0.6595 - val_mean_absolute_error: 0.6595 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6085 - mean_absolute_error: 0.6085 - val_loss: 0.6592 - val_mean_absolute_error: 0.6592 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6083 - mean_absolute_error: 0.6083 - val_loss: 0.6591 - val_mean_absolute_error: 0.6591 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6082 - mean_absolute_error: 0.6082 - val_loss: 0.6590 - val_mean_absolute_error: 0.6590 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6080 - mean_absolute_error: 0.6080 - val_loss: 0.6588 - val_mean_absolute_error: 0.6588 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6078 - mean_absolute_error: 0.6078 - val_loss: 0.6586 - val_mean_absolute_error: 0.6586 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6077 - mean_absolute_error: 0.6077 - val_loss: 0.6583 - val_mean_absolute_error: 0.6583 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6075 - mean_absolute_error: 0.6075 - val_loss: 0.6582 - val_mean_absolute_error: 0.6582 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6073 - mean_absolute_error: 0.6073 - val_loss: 0.6580 - val_mean_absolute_error: 0.6580 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6072 - mean_absolute_error: 0.6072 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6070 - mean_absolute_error: 0.6070 - val_loss: 0.6577 - val_mean_absolute_error: 0.6577 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6072 - mean_absolute_error: 5.6072 - val_loss: 5.6027 - val_mean_absolute_error: 5.6027 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6009 - mean_absolute_error: 5.6009 - val_loss: 5.5989 - val_mean_absolute_error: 5.5989 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5983 - mean_absolute_error: 5.5983 - val_loss: 5.5967 - val_mean_absolute_error: 5.5967 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5966 - mean_absolute_error: 5.5966 - val_loss: 5.5949 - val_mean_absolute_error: 5.5949 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5953 - mean_absolute_error: 5.5953 - val_loss: 5.5936 - val_mean_absolute_error: 5.5936 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5942 - mean_absolute_error: 5.5942 - val_loss: 5.5924 - val_mean_absolute_error: 5.5924 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5933 - mean_absolute_error: 5.5933 - val_loss: 5.5915 - val_mean_absolute_error: 5.5915 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5925 - mean_absolute_error: 5.5925 - val_loss: 5.5906 - val_mean_absolute_error: 5.5906 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5918 - mean_absolute_error: 5.5918 - val_loss: 5.5899 - val_mean_absolute_error: 5.5899 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5912 - mean_absolute_error: 5.5912 - val_loss: 5.5892 - val_mean_absolute_error: 5.5892 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5907 - mean_absolute_error: 5.5907 - val_loss: 5.5886 - val_mean_absolute_error: 5.5886 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5902 - mean_absolute_error: 5.5902 - val_loss: 5.5881 - val_mean_absolute_error: 5.5881 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5897 - mean_absolute_error: 5.5897 - val_loss: 5.5876 - val_mean_absolute_error: 5.5876 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5893 - mean_absolute_error: 5.5893 - val_loss: 5.5871 - val_mean_absolute_error: 5.5871 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5889 - mean_absolute_error: 5.5889 - val_loss: 5.5867 - val_mean_absolute_error: 5.5867 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5885 - mean_absolute_error: 5.5885 - val_loss: 5.5863 - val_mean_absolute_error: 5.5863 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5882 - mean_absolute_error: 5.5882 - val_loss: 5.5859 - val_mean_absolute_error: 5.5859 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5878 - mean_absolute_error: 5.5878 - val_loss: 5.5855 - val_mean_absolute_error: 5.5855 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5875 - mean_absolute_error: 5.5875 - val_loss: 5.5852 - val_mean_absolute_error: 5.5852 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5872 - mean_absolute_error: 5.5872 - val_loss: 5.5849 - val_mean_absolute_error: 5.5849 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5870 - mean_absolute_error: 5.5870 - val_loss: 5.5845 - val_mean_absolute_error: 5.5845 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5867 - mean_absolute_error: 5.5867 - val_loss: 5.5843 - val_mean_absolute_error: 5.5843 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5864 - mean_absolute_error: 5.5864 - val_loss: 5.5840 - val_mean_absolute_error: 5.5840 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5862 - mean_absolute_error: 5.5862 - val_loss: 5.5837 - val_mean_absolute_error: 5.5837 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5860 - mean_absolute_error: 5.5860 - val_loss: 5.5834 - val_mean_absolute_error: 5.5834 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5857 - mean_absolute_error: 5.5857 - val_loss: 5.5832 - val_mean_absolute_error: 5.5832 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5855 - mean_absolute_error: 5.5855 - val_loss: 5.5830 - val_mean_absolute_error: 5.5830 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5853 - mean_absolute_error: 5.5853 - val_loss: 5.5827 - val_mean_absolute_error: 5.5827 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5851 - mean_absolute_error: 5.5851 - val_loss: 5.5825 - val_mean_absolute_error: 5.5825 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5849 - mean_absolute_error: 5.5849 - val_loss: 5.5823 - val_mean_absolute_error: 5.5823 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5847 - mean_absolute_error: 5.5847 - val_loss: 5.5821 - val_mean_absolute_error: 5.5821 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5845 - mean_absolute_error: 5.5845 - val_loss: 5.5819 - val_mean_absolute_error: 5.5819 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5844 - mean_absolute_error: 5.5844 - val_loss: 5.5817 - val_mean_absolute_error: 5.5817 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5842 - mean_absolute_error: 5.5842 - val_loss: 5.5815 - val_mean_absolute_error: 5.5815 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5840 - mean_absolute_error: 5.5840 - val_loss: 5.5813 - val_mean_absolute_error: 5.5813 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5838 - mean_absolute_error: 5.5838 - val_loss: 5.5811 - val_mean_absolute_error: 5.5811 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5837 - mean_absolute_error: 5.5837 - val_loss: 5.5809 - val_mean_absolute_error: 5.5809 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5835 - mean_absolute_error: 5.5835 - val_loss: 5.5807 - val_mean_absolute_error: 5.5807 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5834 - mean_absolute_error: 5.5834 - val_loss: 5.5806 - val_mean_absolute_error: 5.5806 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5832 - mean_absolute_error: 5.5832 - val_loss: 5.5804 - val_mean_absolute_error: 5.5804 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5831 - mean_absolute_error: 5.5831 - val_loss: 5.5802 - val_mean_absolute_error: 5.5802 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5829 - mean_absolute_error: 5.5829 - val_loss: 5.5801 - val_mean_absolute_error: 5.5801 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5828 - mean_absolute_error: 5.5828 - val_loss: 5.5799 - val_mean_absolute_error: 5.5799 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5827 - mean_absolute_error: 5.5827 - val_loss: 5.5798 - val_mean_absolute_error: 5.5798 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5825 - mean_absolute_error: 5.5825 - val_loss: 5.5796 - val_mean_absolute_error: 5.5796 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5824 - mean_absolute_error: 5.5824 - val_loss: 5.5795 - val_mean_absolute_error: 5.5795 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5823 - mean_absolute_error: 5.5823 - val_loss: 5.5794 - val_mean_absolute_error: 5.5794 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5822 - mean_absolute_error: 5.5822 - val_loss: 5.5792 - val_mean_absolute_error: 5.5792 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5820 - mean_absolute_error: 5.5820 - val_loss: 5.5791 - val_mean_absolute_error: 5.5791 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5819 - mean_absolute_error: 5.5819 - val_loss: 5.5790 - val_mean_absolute_error: 5.5790 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5818 - mean_absolute_error: 5.5818 - val_loss: 5.5788 - val_mean_absolute_error: 5.5788 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5817 - mean_absolute_error: 5.5817 - val_loss: 5.5787 - val_mean_absolute_error: 5.5787 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5816 - mean_absolute_error: 5.5816 - val_loss: 5.5786 - val_mean_absolute_error: 5.5786 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5815 - mean_absolute_error: 5.5815 - val_loss: 5.5785 - val_mean_absolute_error: 5.5785 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5814 - mean_absolute_error: 5.5814 - val_loss: 5.5783 - val_mean_absolute_error: 5.5783 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5813 - mean_absolute_error: 5.5813 - val_loss: 5.5782 - val_mean_absolute_error: 5.5782 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5811 - mean_absolute_error: 5.5811 - val_loss: 5.5781 - val_mean_absolute_error: 5.5781 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5810 - mean_absolute_error: 5.5810 - val_loss: 5.5780 - val_mean_absolute_error: 5.5780 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5809 - mean_absolute_error: 5.5809 - val_loss: 5.5779 - val_mean_absolute_error: 5.5779 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5808 - mean_absolute_error: 5.5808 - val_loss: 5.5778 - val_mean_absolute_error: 5.5778 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5808 - mean_absolute_error: 5.5808 - val_loss: 5.5777 - val_mean_absolute_error: 5.5777 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5807 - mean_absolute_error: 5.5807 - val_loss: 5.5775 - val_mean_absolute_error: 5.5775 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5806 - mean_absolute_error: 5.5806 - val_loss: 5.5774 - val_mean_absolute_error: 5.5774 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5805 - mean_absolute_error: 5.5805 - val_loss: 5.5773 - val_mean_absolute_error: 5.5773 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5804 - mean_absolute_error: 5.5804 - val_loss: 5.5772 - val_mean_absolute_error: 5.5772 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5803 - mean_absolute_error: 5.5803 - val_loss: 5.5771 - val_mean_absolute_error: 5.5771 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5802 - mean_absolute_error: 5.5802 - val_loss: 5.5770 - val_mean_absolute_error: 5.5770 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5801 - mean_absolute_error: 5.5801 - val_loss: 5.5770 - val_mean_absolute_error: 5.5770 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5800 - mean_absolute_error: 5.5800 - val_loss: 5.5769 - val_mean_absolute_error: 5.5769 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5799 - mean_absolute_error: 5.5799 - val_loss: 5.5768 - val_mean_absolute_error: 5.5768 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5799 - mean_absolute_error: 5.5799 - val_loss: 5.5767 - val_mean_absolute_error: 5.5767 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5798 - mean_absolute_error: 5.5798 - val_loss: 5.5766 - val_mean_absolute_error: 5.5766 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5797 - mean_absolute_error: 5.5797 - val_loss: 5.5765 - val_mean_absolute_error: 5.5765 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5796 - mean_absolute_error: 5.5796 - val_loss: 5.5764 - val_mean_absolute_error: 5.5764 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5795 - mean_absolute_error: 5.5795 - val_loss: 5.5763 - val_mean_absolute_error: 5.5763 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5795 - mean_absolute_error: 5.5795 - val_loss: 5.5762 - val_mean_absolute_error: 5.5762 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5794 - mean_absolute_error: 5.5794 - val_loss: 5.5761 - val_mean_absolute_error: 5.5761 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5793 - mean_absolute_error: 5.5793 - val_loss: 5.5761 - val_mean_absolute_error: 5.5761 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5792 - mean_absolute_error: 5.5792 - val_loss: 5.5760 - val_mean_absolute_error: 5.5760 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5792 - mean_absolute_error: 5.5792 - val_loss: 5.5759 - val_mean_absolute_error: 5.5759 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5791 - mean_absolute_error: 5.5791 - val_loss: 5.5758 - val_mean_absolute_error: 5.5758 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5790 - mean_absolute_error: 5.5790 - val_loss: 5.5757 - val_mean_absolute_error: 5.5757 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5790 - mean_absolute_error: 5.5790 - val_loss: 5.5757 - val_mean_absolute_error: 5.5757 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5789 - mean_absolute_error: 5.5789 - val_loss: 5.5756 - val_mean_absolute_error: 5.5756 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5788 - mean_absolute_error: 5.5788 - val_loss: 5.5755 - val_mean_absolute_error: 5.5755 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5787 - mean_absolute_error: 5.5787 - val_loss: 5.5754 - val_mean_absolute_error: 5.5754 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5787 - mean_absolute_error: 5.5787 - val_loss: 5.5753 - val_mean_absolute_error: 5.5753 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5786 - mean_absolute_error: 5.5786 - val_loss: 5.5753 - val_mean_absolute_error: 5.5753 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5785 - mean_absolute_error: 5.5785 - val_loss: 5.5752 - val_mean_absolute_error: 5.5752 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5785 - mean_absolute_error: 5.5785 - val_loss: 5.5751 - val_mean_absolute_error: 5.5751 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5784 - mean_absolute_error: 5.5784 - val_loss: 5.5751 - val_mean_absolute_error: 5.5751 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5784 - mean_absolute_error: 5.5784 - val_loss: 5.5750 - val_mean_absolute_error: 5.5750 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5783 - mean_absolute_error: 5.5783 - val_loss: 5.5749 - val_mean_absolute_error: 5.5749 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5782 - mean_absolute_error: 5.5782 - val_loss: 5.5748 - val_mean_absolute_error: 5.5748 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5782 - mean_absolute_error: 5.5782 - val_loss: 5.5748 - val_mean_absolute_error: 5.5748 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5781 - mean_absolute_error: 5.5781 - val_loss: 5.5747 - val_mean_absolute_error: 5.5747 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5780 - mean_absolute_error: 5.5780 - val_loss: 5.5746 - val_mean_absolute_error: 5.5746 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5780 - mean_absolute_error: 5.5780 - val_loss: 5.5746 - val_mean_absolute_error: 5.5746 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5779 - mean_absolute_error: 5.5779 - val_loss: 5.5745 - val_mean_absolute_error: 5.5745 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5779 - mean_absolute_error: 5.5779 - val_loss: 5.5744 - val_mean_absolute_error: 5.5744 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5778 - mean_absolute_error: 5.5778 - val_loss: 5.5744 - val_mean_absolute_error: 5.5744 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5777 - mean_absolute_error: 5.5777 - val_loss: 5.5743 - val_mean_absolute_error: 5.5743 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5777 - mean_absolute_error: 5.5777 - val_loss: 5.5742 - val_mean_absolute_error: 5.5742 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5776 - mean_absolute_error: 5.5776 - val_loss: 5.5742 - val_mean_absolute_error: 5.5742 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5776 - mean_absolute_error: 5.5776 - val_loss: 5.5741 - val_mean_absolute_error: 5.5741 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5775 - mean_absolute_error: 5.5775 - val_loss: 5.5741 - val_mean_absolute_error: 5.5741 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5775 - mean_absolute_error: 5.5775 - val_loss: 5.5740 - val_mean_absolute_error: 5.5740 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5774 - mean_absolute_error: 5.5774 - val_loss: 5.5739 - val_mean_absolute_error: 5.5739 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5774 - mean_absolute_error: 5.5774 - val_loss: 5.5739 - val_mean_absolute_error: 5.5739 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5773 - mean_absolute_error: 5.5773 - val_loss: 5.5738 - val_mean_absolute_error: 5.5738 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5773 - mean_absolute_error: 5.5773 - val_loss: 5.5738 - val_mean_absolute_error: 5.5738 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5772 - mean_absolute_error: 5.5772 - val_loss: 5.5737 - val_mean_absolute_error: 5.5737 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5771 - mean_absolute_error: 5.5771 - val_loss: 5.5736 - val_mean_absolute_error: 5.5736 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5771 - mean_absolute_error: 5.5771 - val_loss: 5.5736 - val_mean_absolute_error: 5.5736 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5770 - mean_absolute_error: 5.5770 - val_loss: 5.5735 - val_mean_absolute_error: 5.5735 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5770 - mean_absolute_error: 5.5770 - val_loss: 5.5735 - val_mean_absolute_error: 5.5735 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5769 - mean_absolute_error: 5.5769 - val_loss: 5.5734 - val_mean_absolute_error: 5.5734 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5769 - mean_absolute_error: 5.5769 - val_loss: 5.5734 - val_mean_absolute_error: 5.5734 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5768 - mean_absolute_error: 5.5768 - val_loss: 5.5733 - val_mean_absolute_error: 5.5733 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5768 - mean_absolute_error: 5.5768 - val_loss: 5.5733 - val_mean_absolute_error: 5.5733 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5767 - mean_absolute_error: 5.5767 - val_loss: 5.5732 - val_mean_absolute_error: 5.5732 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5767 - mean_absolute_error: 5.5767 - val_loss: 5.5731 - val_mean_absolute_error: 5.5731 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5766 - mean_absolute_error: 5.5766 - val_loss: 5.5731 - val_mean_absolute_error: 5.5731 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5766 - mean_absolute_error: 5.5766 - val_loss: 5.5730 - val_mean_absolute_error: 5.5730 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5766 - mean_absolute_error: 5.5766 - val_loss: 5.5730 - val_mean_absolute_error: 5.5730 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5765 - mean_absolute_error: 5.5765 - val_loss: 5.5729 - val_mean_absolute_error: 5.5729 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5765 - mean_absolute_error: 5.5765 - val_loss: 5.5729 - val_mean_absolute_error: 5.5729 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5764 - mean_absolute_error: 5.5764 - val_loss: 5.5728 - val_mean_absolute_error: 5.5728 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5764 - mean_absolute_error: 5.5764 - val_loss: 5.5728 - val_mean_absolute_error: 5.5728 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5763 - mean_absolute_error: 5.5763 - val_loss: 5.5727 - val_mean_absolute_error: 5.5727 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5763 - mean_absolute_error: 5.5763 - val_loss: 5.5727 - val_mean_absolute_error: 5.5727 Epoch 132/500 35/35 [==============================] - 0s 3ms/step - loss: 5.5762 - mean_absolute_error: 5.5762 - val_loss: 5.5726 - val_mean_absolute_error: 5.5726 Epoch 133/500 35/35 [==============================] - 0s 3ms/step - loss: 5.5762 - mean_absolute_error: 5.5762 - val_loss: 5.5726 - val_mean_absolute_error: 5.5726 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5761 - mean_absolute_error: 5.5761 - val_loss: 5.5725 - val_mean_absolute_error: 5.5725 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5761 - mean_absolute_error: 5.5761 - val_loss: 5.5725 - val_mean_absolute_error: 5.5725 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5761 - mean_absolute_error: 5.5761 - val_loss: 5.5724 - val_mean_absolute_error: 5.5724 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5760 - mean_absolute_error: 5.5760 - val_loss: 5.5724 - val_mean_absolute_error: 5.5724 Epoch 138/500 35/35 [==============================] - 0s 3ms/step - loss: 5.5760 - mean_absolute_error: 5.5760 - val_loss: 5.5723 - val_mean_absolute_error: 5.5723 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5759 - mean_absolute_error: 5.5759 - val_loss: 5.5723 - val_mean_absolute_error: 5.5723 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5759 - mean_absolute_error: 5.5759 - val_loss: 5.5722 - val_mean_absolute_error: 5.5722 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5758 - mean_absolute_error: 5.5758 - val_loss: 5.5722 - val_mean_absolute_error: 5.5722 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5758 - mean_absolute_error: 5.5758 - val_loss: 5.5722 - val_mean_absolute_error: 5.5722 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5758 - mean_absolute_error: 5.5758 - val_loss: 5.5721 - val_mean_absolute_error: 5.5721 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5757 - mean_absolute_error: 5.5757 - val_loss: 5.5721 - val_mean_absolute_error: 5.5721 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5757 - mean_absolute_error: 5.5757 - val_loss: 5.5720 - val_mean_absolute_error: 5.5720 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5756 - mean_absolute_error: 5.5756 - val_loss: 5.5720 - val_mean_absolute_error: 5.5720 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5756 - mean_absolute_error: 5.5756 - val_loss: 5.5719 - val_mean_absolute_error: 5.5719 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5756 - mean_absolute_error: 5.5756 - val_loss: 5.5719 - val_mean_absolute_error: 5.5719 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5755 - mean_absolute_error: 5.5755 - val_loss: 5.5718 - val_mean_absolute_error: 5.5718 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5755 - mean_absolute_error: 5.5755 - val_loss: 5.5718 - val_mean_absolute_error: 5.5718 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5754 - mean_absolute_error: 5.5754 - val_loss: 5.5718 - val_mean_absolute_error: 5.5718 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5754 - mean_absolute_error: 5.5754 - val_loss: 5.5717 - val_mean_absolute_error: 5.5717 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5754 - mean_absolute_error: 5.5754 - val_loss: 5.5717 - val_mean_absolute_error: 5.5717 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5753 - mean_absolute_error: 5.5753 - val_loss: 5.5716 - val_mean_absolute_error: 5.5716 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5753 - mean_absolute_error: 5.5753 - val_loss: 5.5716 - val_mean_absolute_error: 5.5716 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5753 - mean_absolute_error: 5.5753 - val_loss: 5.5715 - val_mean_absolute_error: 5.5715 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5752 - mean_absolute_error: 5.5752 - val_loss: 5.5715 - val_mean_absolute_error: 5.5715 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5752 - mean_absolute_error: 5.5752 - val_loss: 5.5715 - val_mean_absolute_error: 5.5715 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5751 - mean_absolute_error: 5.5751 - val_loss: 5.5714 - val_mean_absolute_error: 5.5714 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5751 - mean_absolute_error: 5.5751 - val_loss: 5.5714 - val_mean_absolute_error: 5.5714 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5751 - mean_absolute_error: 5.5751 - val_loss: 5.5713 - val_mean_absolute_error: 5.5713 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5750 - mean_absolute_error: 5.5750 - val_loss: 5.5713 - val_mean_absolute_error: 5.5713 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5750 - mean_absolute_error: 5.5750 - val_loss: 5.5713 - val_mean_absolute_error: 5.5713 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5750 - mean_absolute_error: 5.5750 - val_loss: 5.5712 - val_mean_absolute_error: 5.5712 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5749 - mean_absolute_error: 5.5749 - val_loss: 5.5712 - val_mean_absolute_error: 5.5712 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5749 - mean_absolute_error: 5.5749 - val_loss: 5.5711 - val_mean_absolute_error: 5.5711 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5748 - mean_absolute_error: 5.5748 - val_loss: 5.5711 - val_mean_absolute_error: 5.5711 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5748 - mean_absolute_error: 5.5748 - val_loss: 5.5711 - val_mean_absolute_error: 5.5711 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5748 - mean_absolute_error: 5.5748 - val_loss: 5.5710 - val_mean_absolute_error: 5.5710 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5747 - mean_absolute_error: 5.5747 - val_loss: 5.5710 - val_mean_absolute_error: 5.5710 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5747 - mean_absolute_error: 5.5747 - val_loss: 5.5709 - val_mean_absolute_error: 5.5709 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5747 - mean_absolute_error: 5.5747 - val_loss: 5.5709 - val_mean_absolute_error: 5.5709 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5746 - mean_absolute_error: 5.5746 - val_loss: 5.5709 - val_mean_absolute_error: 5.5709 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5746 - mean_absolute_error: 5.5746 - val_loss: 5.5708 - val_mean_absolute_error: 5.5708 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5746 - mean_absolute_error: 5.5746 - val_loss: 5.5708 - val_mean_absolute_error: 5.5708 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5745 - mean_absolute_error: 5.5745 - val_loss: 5.5708 - val_mean_absolute_error: 5.5708 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5745 - mean_absolute_error: 5.5745 - val_loss: 5.5707 - val_mean_absolute_error: 5.5707 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5745 - mean_absolute_error: 5.5745 - val_loss: 5.5707 - val_mean_absolute_error: 5.5707 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5744 - mean_absolute_error: 5.5744 - val_loss: 5.5706 - val_mean_absolute_error: 5.5706 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5744 - mean_absolute_error: 5.5744 - val_loss: 5.5706 - val_mean_absolute_error: 5.5706 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5744 - mean_absolute_error: 5.5744 - val_loss: 5.5706 - val_mean_absolute_error: 5.5706 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5743 - mean_absolute_error: 5.5743 - val_loss: 5.5705 - val_mean_absolute_error: 5.5705 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5743 - mean_absolute_error: 5.5743 - val_loss: 5.5705 - val_mean_absolute_error: 5.5705 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5743 - mean_absolute_error: 5.5743 - val_loss: 5.5705 - val_mean_absolute_error: 5.5705 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5742 - mean_absolute_error: 5.5742 - val_loss: 5.5704 - val_mean_absolute_error: 5.5704 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5742 - mean_absolute_error: 5.5742 - val_loss: 5.5704 - val_mean_absolute_error: 5.5704 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5742 - mean_absolute_error: 5.5742 - val_loss: 5.5704 - val_mean_absolute_error: 5.5704 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5741 - mean_absolute_error: 5.5741 - val_loss: 5.5703 - val_mean_absolute_error: 5.5703 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5741 - mean_absolute_error: 5.5741 - val_loss: 5.5703 - val_mean_absolute_error: 5.5703 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5741 - mean_absolute_error: 5.5741 - val_loss: 5.5703 - val_mean_absolute_error: 5.5703 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5741 - mean_absolute_error: 5.5741 - val_loss: 5.5702 - val_mean_absolute_error: 5.5702 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5740 - mean_absolute_error: 5.5740 - val_loss: 5.5702 - val_mean_absolute_error: 5.5702 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5740 - mean_absolute_error: 5.5740 - val_loss: 5.5702 - val_mean_absolute_error: 5.5702 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5740 - mean_absolute_error: 5.5740 - val_loss: 5.5701 - val_mean_absolute_error: 5.5701 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5739 - mean_absolute_error: 5.5739 - val_loss: 5.5701 - val_mean_absolute_error: 5.5701 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5739 - mean_absolute_error: 5.5739 - val_loss: 5.5701 - val_mean_absolute_error: 5.5701 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5739 - mean_absolute_error: 5.5739 - val_loss: 5.5700 - val_mean_absolute_error: 5.5700 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5738 - mean_absolute_error: 5.5738 - val_loss: 5.5700 - val_mean_absolute_error: 5.5700 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5738 - mean_absolute_error: 5.5738 - val_loss: 5.5700 - val_mean_absolute_error: 5.5700 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5738 - mean_absolute_error: 5.5738 - val_loss: 5.5699 - val_mean_absolute_error: 5.5699 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5738 - mean_absolute_error: 5.5738 - val_loss: 5.5699 - val_mean_absolute_error: 5.5699 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5737 - mean_absolute_error: 5.5737 - val_loss: 5.5699 - val_mean_absolute_error: 5.5699 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5737 - mean_absolute_error: 5.5737 - val_loss: 5.5698 - val_mean_absolute_error: 5.5698 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5737 - mean_absolute_error: 5.5737 - val_loss: 5.5698 - val_mean_absolute_error: 5.5698 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5736 - mean_absolute_error: 5.5736 - val_loss: 5.5698 - val_mean_absolute_error: 5.5698 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5736 - mean_absolute_error: 5.5736 - val_loss: 5.5697 - val_mean_absolute_error: 5.5697 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5736 - mean_absolute_error: 5.5736 - val_loss: 5.5697 - val_mean_absolute_error: 5.5697 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5736 - mean_absolute_error: 5.5736 - val_loss: 5.5697 - val_mean_absolute_error: 5.5697 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5735 - mean_absolute_error: 5.5735 - val_loss: 5.5696 - val_mean_absolute_error: 5.5696 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5735 - mean_absolute_error: 5.5735 - val_loss: 5.5696 - val_mean_absolute_error: 5.5696 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5735 - mean_absolute_error: 5.5735 - val_loss: 5.5696 - val_mean_absolute_error: 5.5696 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5734 - mean_absolute_error: 5.5734 - val_loss: 5.5695 - val_mean_absolute_error: 5.5695 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5734 - mean_absolute_error: 5.5734 - val_loss: 5.5695 - val_mean_absolute_error: 5.5695 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5734 - mean_absolute_error: 5.5734 - val_loss: 5.5695 - val_mean_absolute_error: 5.5695 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5734 - mean_absolute_error: 5.5734 - val_loss: 5.5695 - val_mean_absolute_error: 5.5695 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5733 - mean_absolute_error: 5.5733 - val_loss: 5.5694 - val_mean_absolute_error: 5.5694 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5733 - mean_absolute_error: 5.5733 - val_loss: 5.5694 - val_mean_absolute_error: 5.5694 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5733 - mean_absolute_error: 5.5733 - val_loss: 5.5694 - val_mean_absolute_error: 5.5694 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5733 - mean_absolute_error: 5.5733 - val_loss: 5.5693 - val_mean_absolute_error: 5.5693 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5732 - mean_absolute_error: 5.5732 - val_loss: 5.5693 - val_mean_absolute_error: 5.5693 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5732 - mean_absolute_error: 5.5732 - val_loss: 5.5693 - val_mean_absolute_error: 5.5693 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5732 - mean_absolute_error: 5.5732 - val_loss: 5.5693 - val_mean_absolute_error: 5.5693 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5732 - mean_absolute_error: 5.5732 - val_loss: 5.5692 - val_mean_absolute_error: 5.5692 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5731 - mean_absolute_error: 5.5731 - val_loss: 5.5692 - val_mean_absolute_error: 5.5692 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5731 - mean_absolute_error: 5.5731 - val_loss: 5.5692 - val_mean_absolute_error: 5.5692 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5731 - mean_absolute_error: 5.5731 - val_loss: 5.5691 - val_mean_absolute_error: 5.5691 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5730 - mean_absolute_error: 5.5730 - val_loss: 5.5691 - val_mean_absolute_error: 5.5691 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5730 - mean_absolute_error: 5.5730 - val_loss: 5.5691 - val_mean_absolute_error: 5.5691 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5730 - mean_absolute_error: 5.5730 - val_loss: 5.5690 - val_mean_absolute_error: 5.5690 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5730 - mean_absolute_error: 5.5730 - val_loss: 5.5690 - val_mean_absolute_error: 5.5690 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5729 - mean_absolute_error: 5.5729 - val_loss: 5.5690 - val_mean_absolute_error: 5.5690 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5729 - mean_absolute_error: 5.5729 - val_loss: 5.5690 - val_mean_absolute_error: 5.5690 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5729 - mean_absolute_error: 5.5729 - val_loss: 5.5689 - val_mean_absolute_error: 5.5689 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5729 - mean_absolute_error: 5.5729 - val_loss: 5.5689 - val_mean_absolute_error: 5.5689 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5728 - mean_absolute_error: 5.5728 - val_loss: 5.5689 - val_mean_absolute_error: 5.5689 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5728 - mean_absolute_error: 5.5728 - val_loss: 5.5689 - val_mean_absolute_error: 5.5689 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5728 - mean_absolute_error: 5.5728 - val_loss: 5.5688 - val_mean_absolute_error: 5.5688 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5728 - mean_absolute_error: 5.5728 - val_loss: 5.5688 - val_mean_absolute_error: 5.5688 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5727 - mean_absolute_error: 5.5727 - val_loss: 5.5688 - val_mean_absolute_error: 5.5688 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5727 - mean_absolute_error: 5.5727 - val_loss: 5.5687 - val_mean_absolute_error: 5.5687 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5727 - mean_absolute_error: 5.5727 - val_loss: 5.5687 - val_mean_absolute_error: 5.5687 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5727 - mean_absolute_error: 5.5727 - val_loss: 5.5687 - val_mean_absolute_error: 5.5687 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5726 - mean_absolute_error: 5.5726 - val_loss: 5.5687 - val_mean_absolute_error: 5.5687 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5726 - mean_absolute_error: 5.5726 - val_loss: 5.5686 - val_mean_absolute_error: 5.5686 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5726 - mean_absolute_error: 5.5726 - val_loss: 5.5686 - val_mean_absolute_error: 5.5686 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5726 - mean_absolute_error: 5.5726 - val_loss: 5.5686 - val_mean_absolute_error: 5.5686 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5725 - mean_absolute_error: 5.5725 - val_loss: 5.5685 - val_mean_absolute_error: 5.5685 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5725 - mean_absolute_error: 5.5725 - val_loss: 5.5685 - val_mean_absolute_error: 5.5685 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5725 - mean_absolute_error: 5.5725 - val_loss: 5.5685 - val_mean_absolute_error: 5.5685 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5725 - mean_absolute_error: 5.5725 - val_loss: 5.5685 - val_mean_absolute_error: 5.5685 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5724 - mean_absolute_error: 5.5724 - val_loss: 5.5684 - val_mean_absolute_error: 5.5684 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5724 - mean_absolute_error: 5.5724 - val_loss: 5.5684 - val_mean_absolute_error: 5.5684 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5724 - mean_absolute_error: 5.5724 - val_loss: 5.5684 - val_mean_absolute_error: 5.5684 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5724 - mean_absolute_error: 5.5724 - val_loss: 5.5684 - val_mean_absolute_error: 5.5684 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5723 - mean_absolute_error: 5.5723 - val_loss: 5.5683 - val_mean_absolute_error: 5.5683 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5723 - mean_absolute_error: 5.5723 - val_loss: 5.5683 - val_mean_absolute_error: 5.5683 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5723 - mean_absolute_error: 5.5723 - val_loss: 5.5683 - val_mean_absolute_error: 5.5683 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5723 - mean_absolute_error: 5.5723 - val_loss: 5.5683 - val_mean_absolute_error: 5.5683 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5723 - mean_absolute_error: 5.5723 - val_loss: 5.5682 - val_mean_absolute_error: 5.5682 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5722 - mean_absolute_error: 5.5722 - val_loss: 5.5682 - val_mean_absolute_error: 5.5682 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5722 - mean_absolute_error: 5.5722 - val_loss: 5.5682 - val_mean_absolute_error: 5.5682 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5722 - mean_absolute_error: 5.5722 - val_loss: 5.5682 - val_mean_absolute_error: 5.5682 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5722 - mean_absolute_error: 5.5722 - val_loss: 5.5681 - val_mean_absolute_error: 5.5681 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5721 - mean_absolute_error: 5.5721 - val_loss: 5.5681 - val_mean_absolute_error: 5.5681 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5721 - mean_absolute_error: 5.5721 - val_loss: 5.5681 - val_mean_absolute_error: 5.5681 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5721 - mean_absolute_error: 5.5721 - val_loss: 5.5681 - val_mean_absolute_error: 5.5681 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5721 - mean_absolute_error: 5.5721 - val_loss: 5.5680 - val_mean_absolute_error: 5.5680 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5720 - mean_absolute_error: 5.5720 - val_loss: 5.5680 - val_mean_absolute_error: 5.5680 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5720 - mean_absolute_error: 5.5720 - val_loss: 5.5680 - val_mean_absolute_error: 5.5680 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5720 - mean_absolute_error: 5.5720 - val_loss: 5.5680 - val_mean_absolute_error: 5.5680 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5720 - mean_absolute_error: 5.5720 - val_loss: 5.5679 - val_mean_absolute_error: 5.5679 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5720 - mean_absolute_error: 5.5720 - val_loss: 5.5679 - val_mean_absolute_error: 5.5679 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5719 - mean_absolute_error: 5.5719 - val_loss: 5.5679 - val_mean_absolute_error: 5.5679 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5719 - mean_absolute_error: 5.5719 - val_loss: 5.5679 - val_mean_absolute_error: 5.5679 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5719 - mean_absolute_error: 5.5719 - val_loss: 5.5678 - val_mean_absolute_error: 5.5678 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5719 - mean_absolute_error: 5.5719 - val_loss: 5.5678 - val_mean_absolute_error: 5.5678 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5678 - val_mean_absolute_error: 5.5678 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5678 - val_mean_absolute_error: 5.5678 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5677 - val_mean_absolute_error: 5.5677 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5677 - val_mean_absolute_error: 5.5677 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5718 - mean_absolute_error: 5.5718 - val_loss: 5.5677 - val_mean_absolute_error: 5.5677 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5717 - mean_absolute_error: 5.5717 - val_loss: 5.5677 - val_mean_absolute_error: 5.5677 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5717 - mean_absolute_error: 5.5717 - val_loss: 5.5676 - val_mean_absolute_error: 5.5676 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5717 - mean_absolute_error: 5.5717 - val_loss: 5.5676 - val_mean_absolute_error: 5.5676 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5717 - mean_absolute_error: 5.5717 - val_loss: 5.5676 - val_mean_absolute_error: 5.5676 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5717 - mean_absolute_error: 5.5717 - val_loss: 5.5676 - val_mean_absolute_error: 5.5676 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5716 - mean_absolute_error: 5.5716 - val_loss: 5.5675 - val_mean_absolute_error: 5.5675 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5716 - mean_absolute_error: 5.5716 - val_loss: 5.5675 - val_mean_absolute_error: 5.5675 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5716 - mean_absolute_error: 5.5716 - val_loss: 5.5675 - val_mean_absolute_error: 5.5675 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5716 - mean_absolute_error: 5.5716 - val_loss: 5.5675 - val_mean_absolute_error: 5.5675 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5675 - val_mean_absolute_error: 5.5675 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5674 - val_mean_absolute_error: 5.5674 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5674 - val_mean_absolute_error: 5.5674 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5674 - val_mean_absolute_error: 5.5674 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5715 - mean_absolute_error: 5.5715 - val_loss: 5.5674 - val_mean_absolute_error: 5.5674 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5714 - mean_absolute_error: 5.5714 - val_loss: 5.5673 - val_mean_absolute_error: 5.5673 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5714 - mean_absolute_error: 5.5714 - val_loss: 5.5673 - val_mean_absolute_error: 5.5673 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5714 - mean_absolute_error: 5.5714 - val_loss: 5.5673 - val_mean_absolute_error: 5.5673 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5714 - mean_absolute_error: 5.5714 - val_loss: 5.5673 - val_mean_absolute_error: 5.5673 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5714 - mean_absolute_error: 5.5714 - val_loss: 5.5673 - val_mean_absolute_error: 5.5673 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5713 - mean_absolute_error: 5.5713 - val_loss: 5.5672 - val_mean_absolute_error: 5.5672 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5713 - mean_absolute_error: 5.5713 - val_loss: 5.5672 - val_mean_absolute_error: 5.5672 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5713 - mean_absolute_error: 5.5713 - val_loss: 5.5672 - val_mean_absolute_error: 5.5672 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5713 - mean_absolute_error: 5.5713 - val_loss: 5.5672 - val_mean_absolute_error: 5.5672 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5713 - mean_absolute_error: 5.5713 - val_loss: 5.5671 - val_mean_absolute_error: 5.5671 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5712 - mean_absolute_error: 5.5712 - val_loss: 5.5671 - val_mean_absolute_error: 5.5671 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5712 - mean_absolute_error: 5.5712 - val_loss: 5.5671 - val_mean_absolute_error: 5.5671 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5712 - mean_absolute_error: 5.5712 - val_loss: 5.5671 - val_mean_absolute_error: 5.5671 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5712 - mean_absolute_error: 5.5712 - val_loss: 5.5671 - val_mean_absolute_error: 5.5671 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5712 - mean_absolute_error: 5.5712 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5670 - val_mean_absolute_error: 5.5670 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5669 - val_mean_absolute_error: 5.5669 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5711 - mean_absolute_error: 5.5711 - val_loss: 5.5669 - val_mean_absolute_error: 5.5669 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5710 - mean_absolute_error: 5.5710 - val_loss: 5.5669 - val_mean_absolute_error: 5.5669 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5710 - mean_absolute_error: 5.5710 - val_loss: 5.5669 - val_mean_absolute_error: 5.5669 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5710 - mean_absolute_error: 5.5710 - val_loss: 5.5669 - val_mean_absolute_error: 5.5669 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5710 - mean_absolute_error: 5.5710 - val_loss: 5.5668 - val_mean_absolute_error: 5.5668 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5710 - mean_absolute_error: 5.5710 - val_loss: 5.5668 - val_mean_absolute_error: 5.5668 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5709 - mean_absolute_error: 5.5709 - val_loss: 5.5668 - val_mean_absolute_error: 5.5668 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5709 - mean_absolute_error: 5.5709 - val_loss: 5.5668 - val_mean_absolute_error: 5.5668 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5709 - mean_absolute_error: 5.5709 - val_loss: 5.5668 - val_mean_absolute_error: 5.5668 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5709 - mean_absolute_error: 5.5709 - val_loss: 5.5667 - val_mean_absolute_error: 5.5667 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5709 - mean_absolute_error: 5.5709 - val_loss: 5.5667 - val_mean_absolute_error: 5.5667 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5667 - val_mean_absolute_error: 5.5667 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5667 - val_mean_absolute_error: 5.5667 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5667 - val_mean_absolute_error: 5.5667 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5666 - val_mean_absolute_error: 5.5666 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5666 - val_mean_absolute_error: 5.5666 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5708 - mean_absolute_error: 5.5708 - val_loss: 5.5666 - val_mean_absolute_error: 5.5666 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5666 - val_mean_absolute_error: 5.5666 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5666 - val_mean_absolute_error: 5.5666 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5665 - val_mean_absolute_error: 5.5665 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5665 - val_mean_absolute_error: 5.5665 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5665 - val_mean_absolute_error: 5.5665 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5707 - mean_absolute_error: 5.5707 - val_loss: 5.5665 - val_mean_absolute_error: 5.5665 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5665 - val_mean_absolute_error: 5.5665 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5664 - val_mean_absolute_error: 5.5664 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5664 - val_mean_absolute_error: 5.5664 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5664 - val_mean_absolute_error: 5.5664 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5664 - val_mean_absolute_error: 5.5664 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5706 - mean_absolute_error: 5.5706 - val_loss: 5.5664 - val_mean_absolute_error: 5.5664 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5705 - mean_absolute_error: 5.5705 - val_loss: 5.5663 - val_mean_absolute_error: 5.5663 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5662 - val_mean_absolute_error: 5.5662 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5662 - val_mean_absolute_error: 5.5662 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5662 - val_mean_absolute_error: 5.5662 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5662 - val_mean_absolute_error: 5.5662 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5662 - val_mean_absolute_error: 5.5662 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5704 - mean_absolute_error: 5.5704 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5661 - val_mean_absolute_error: 5.5661 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5703 - mean_absolute_error: 5.5703 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5660 - val_mean_absolute_error: 5.5660 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5702 - mean_absolute_error: 5.5702 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5659 - val_mean_absolute_error: 5.5659 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5701 - mean_absolute_error: 5.5701 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5658 - val_mean_absolute_error: 5.5658 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5700 - mean_absolute_error: 5.5700 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5657 - val_mean_absolute_error: 5.5657 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5699 - mean_absolute_error: 5.5699 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5656 - val_mean_absolute_error: 5.5656 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5698 - mean_absolute_error: 5.5698 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5655 - val_mean_absolute_error: 5.5655 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5697 - mean_absolute_error: 5.5697 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5654 - val_mean_absolute_error: 5.5654 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5696 - mean_absolute_error: 5.5696 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5653 - val_mean_absolute_error: 5.5653 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5695 - mean_absolute_error: 5.5695 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5652 - val_mean_absolute_error: 5.5652 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5694 - mean_absolute_error: 5.5694 - val_loss: 5.5651 - val_mean_absolute_error: 5.5651 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5693 - mean_absolute_error: 5.5693 - val_loss: 5.5650 - val_mean_absolute_error: 5.5650 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5692 - mean_absolute_error: 5.5692 - val_loss: 5.5649 - val_mean_absolute_error: 5.5649 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5648 - val_mean_absolute_error: 5.5648 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5691 - mean_absolute_error: 5.5691 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5647 - val_mean_absolute_error: 5.5647 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5690 - mean_absolute_error: 5.5690 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5646 - val_mean_absolute_error: 5.5646 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5689 - mean_absolute_error: 5.5689 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5645 - val_mean_absolute_error: 5.5645 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5688 - mean_absolute_error: 5.5688 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5644 - val_mean_absolute_error: 5.5644 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5687 - mean_absolute_error: 5.5687 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5643 - val_mean_absolute_error: 5.5643 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5686 - mean_absolute_error: 5.5686 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5642 - val_mean_absolute_error: 5.5642 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5685 - mean_absolute_error: 5.5685 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 492/500 35/35 [==============================] - 0s 3ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5641 - val_mean_absolute_error: 5.5641 Epoch 493/500 35/35 [==============================] - 0s 3ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5684 - mean_absolute_error: 5.5684 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5683 - mean_absolute_error: 5.5683 - val_loss: 5.5640 - val_mean_absolute_error: 5.5640 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 5.5683 - mean_absolute_error: 5.5683 - val_loss: 5.5639 - val_mean_absolute_error: 5.5639 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.3351 - mean_absolute_error: 5.3351 - val_loss: 4.6399 - val_mean_absolute_error: 4.6399 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 2.8666 - mean_absolute_error: 2.8666 - val_loss: 1.5636 - val_mean_absolute_error: 1.5636 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 1.1134 - mean_absolute_error: 1.1134 - val_loss: 0.9745 - val_mean_absolute_error: 0.9745 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8336 - mean_absolute_error: 0.8336 - val_loss: 0.8074 - val_mean_absolute_error: 0.8074 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7004 - mean_absolute_error: 0.7004 - val_loss: 0.6794 - val_mean_absolute_error: 0.6794 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6165 - mean_absolute_error: 0.6165 - val_loss: 0.5951 - val_mean_absolute_error: 0.5951 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5699 - mean_absolute_error: 0.5699 - val_loss: 0.5731 - val_mean_absolute_error: 0.5731 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5348 - mean_absolute_error: 0.5348 - val_loss: 0.5438 - val_mean_absolute_error: 0.5438 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5302 - val_mean_absolute_error: 0.5302 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5200 - mean_absolute_error: 0.5200 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5140 - mean_absolute_error: 0.5140 - val_loss: 0.5220 - val_mean_absolute_error: 0.5220 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5148 - mean_absolute_error: 0.5148 - val_loss: 0.5336 - val_mean_absolute_error: 0.5336 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5123 - mean_absolute_error: 0.5123 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5041 - mean_absolute_error: 0.5041 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5021 - mean_absolute_error: 0.5021 - val_loss: 0.5323 - val_mean_absolute_error: 0.5323 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5103 - val_mean_absolute_error: 0.5103 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5079 - mean_absolute_error: 0.5079 - val_loss: 0.5260 - val_mean_absolute_error: 0.5260 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mean_absolute_error: 0.5047 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5104 - mean_absolute_error: 0.5104 - val_loss: 0.5162 - val_mean_absolute_error: 0.5162 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5034 - mean_absolute_error: 0.5034 - val_loss: 0.5118 - val_mean_absolute_error: 0.5118 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5073 - mean_absolute_error: 0.5073 - val_loss: 0.5049 - val_mean_absolute_error: 0.5049 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5058 - mean_absolute_error: 0.5058 - val_loss: 0.5106 - val_mean_absolute_error: 0.5106 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4936 - mean_absolute_error: 0.4936 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4946 - mean_absolute_error: 0.4946 - val_loss: 0.5140 - val_mean_absolute_error: 0.5140 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5014 - mean_absolute_error: 0.5014 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mean_absolute_error: 0.4984 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4953 - mean_absolute_error: 0.4953 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mean_absolute_error: 0.4893 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4903 - mean_absolute_error: 0.4903 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4913 - mean_absolute_error: 0.4913 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mean_absolute_error: 0.4833 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5195 - val_mean_absolute_error: 0.5195 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4857 - mean_absolute_error: 0.4857 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4963 - mean_absolute_error: 0.4963 - val_loss: 0.5289 - val_mean_absolute_error: 0.5289 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4961 - mean_absolute_error: 0.4961 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4933 - mean_absolute_error: 0.4933 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.4881 - val_mean_absolute_error: 0.4881 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5009 - mean_absolute_error: 0.5009 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4853 - mean_absolute_error: 0.4853 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4860 - mean_absolute_error: 0.4860 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.4933 - val_mean_absolute_error: 0.4933 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4825 - mean_absolute_error: 0.4825 - val_loss: 0.5171 - val_mean_absolute_error: 0.5171 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4797 - mean_absolute_error: 0.4797 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4841 - mean_absolute_error: 0.4841 - val_loss: 0.5377 - val_mean_absolute_error: 0.5377 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4916 - mean_absolute_error: 0.4916 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4821 - mean_absolute_error: 0.4821 - val_loss: 0.4877 - val_mean_absolute_error: 0.4877 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.4851 - val_mean_absolute_error: 0.4851 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.4864 - val_mean_absolute_error: 0.4864 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5127 - val_mean_absolute_error: 0.5127 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4650 - mean_absolute_error: 0.4650 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.5254 - val_mean_absolute_error: 0.5254 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4652 - mean_absolute_error: 0.4652 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4625 - mean_absolute_error: 0.4625 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4568 - mean_absolute_error: 0.4568 - val_loss: 0.4861 - val_mean_absolute_error: 0.4861 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4893 - val_mean_absolute_error: 0.4893 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.5150 - val_mean_absolute_error: 0.5150 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4643 - mean_absolute_error: 0.4643 - val_loss: 0.4819 - val_mean_absolute_error: 0.4819 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4646 - mean_absolute_error: 0.4646 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mean_absolute_error: 0.4629 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4583 - mean_absolute_error: 0.4583 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4547 - mean_absolute_error: 0.4547 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4592 - mean_absolute_error: 0.4592 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4524 - mean_absolute_error: 0.4524 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4607 - mean_absolute_error: 0.4607 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.5183 - val_mean_absolute_error: 0.5183 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4599 - mean_absolute_error: 0.4599 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4576 - mean_absolute_error: 0.4576 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4528 - mean_absolute_error: 0.4528 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5248 - val_mean_absolute_error: 0.5248 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4851 - mean_absolute_error: 0.4851 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.4813 - val_mean_absolute_error: 0.4813 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4810 - val_mean_absolute_error: 0.4810 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4547 - mean_absolute_error: 0.4547 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4513 - mean_absolute_error: 0.4513 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4598 - mean_absolute_error: 0.4598 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4647 - mean_absolute_error: 0.4647 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4636 - mean_absolute_error: 0.4636 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4592 - mean_absolute_error: 0.4592 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4532 - mean_absolute_error: 0.4532 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4507 - mean_absolute_error: 0.4507 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4496 - mean_absolute_error: 0.4496 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4500 - mean_absolute_error: 0.4500 - val_loss: 0.4868 - val_mean_absolute_error: 0.4868 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4534 - mean_absolute_error: 0.4534 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mean_absolute_error: 0.4567 - val_loss: 0.4832 - val_mean_absolute_error: 0.4832 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4610 - mean_absolute_error: 0.4610 - val_loss: 0.4812 - val_mean_absolute_error: 0.4812 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4617 - mean_absolute_error: 0.4617 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4505 - mean_absolute_error: 0.4505 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4530 - mean_absolute_error: 0.4530 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4485 - mean_absolute_error: 0.4485 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.4875 - val_mean_absolute_error: 0.4875 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4482 - mean_absolute_error: 0.4482 - val_loss: 0.4800 - val_mean_absolute_error: 0.4800 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4588 - mean_absolute_error: 0.4588 - val_loss: 0.5045 - val_mean_absolute_error: 0.5045 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4513 - mean_absolute_error: 0.4513 - val_loss: 0.4801 - val_mean_absolute_error: 0.4801 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4465 - mean_absolute_error: 0.4465 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4520 - mean_absolute_error: 0.4520 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4517 - mean_absolute_error: 0.4517 - val_loss: 0.4808 - val_mean_absolute_error: 0.4808 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4473 - mean_absolute_error: 0.4473 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mean_absolute_error: 0.4463 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4496 - mean_absolute_error: 0.4496 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4435 - mean_absolute_error: 0.4435 - val_loss: 0.4785 - val_mean_absolute_error: 0.4785 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4445 - mean_absolute_error: 0.4445 - val_loss: 0.4777 - val_mean_absolute_error: 0.4777 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4473 - mean_absolute_error: 0.4473 - val_loss: 0.4843 - val_mean_absolute_error: 0.4843 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4467 - mean_absolute_error: 0.4467 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4399 - mean_absolute_error: 0.4399 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4477 - mean_absolute_error: 0.4477 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4803 - val_mean_absolute_error: 0.4803 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4493 - mean_absolute_error: 0.4493 - val_loss: 0.4831 - val_mean_absolute_error: 0.4831 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mean_absolute_error: 0.4561 - val_loss: 0.4764 - val_mean_absolute_error: 0.4764 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4502 - mean_absolute_error: 0.4502 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4470 - mean_absolute_error: 0.4470 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4402 - mean_absolute_error: 0.4402 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4350 - mean_absolute_error: 0.4350 - val_loss: 0.4743 - val_mean_absolute_error: 0.4743 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4397 - mean_absolute_error: 0.4397 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4566 - mean_absolute_error: 0.4566 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4504 - mean_absolute_error: 0.4504 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4430 - mean_absolute_error: 0.4430 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4383 - mean_absolute_error: 0.4383 - val_loss: 0.4736 - val_mean_absolute_error: 0.4736 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4401 - mean_absolute_error: 0.4401 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.4715 - val_mean_absolute_error: 0.4715 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.4722 - val_mean_absolute_error: 0.4722 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4452 - mean_absolute_error: 0.4452 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.4784 - val_mean_absolute_error: 0.4784 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4376 - mean_absolute_error: 0.4376 - val_loss: 0.4708 - val_mean_absolute_error: 0.4708 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4399 - mean_absolute_error: 0.4399 - val_loss: 0.4697 - val_mean_absolute_error: 0.4697 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4380 - mean_absolute_error: 0.4380 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mean_absolute_error: 0.4548 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4848 - val_mean_absolute_error: 0.4848 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4727 - val_mean_absolute_error: 0.4727 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.4737 - val_mean_absolute_error: 0.4737 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4445 - mean_absolute_error: 0.4445 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4451 - mean_absolute_error: 0.4451 - val_loss: 0.4747 - val_mean_absolute_error: 0.4747 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.4848 - val_mean_absolute_error: 0.4848 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4415 - mean_absolute_error: 0.4415 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4349 - mean_absolute_error: 0.4349 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4390 - mean_absolute_error: 0.4390 - val_loss: 0.4721 - val_mean_absolute_error: 0.4721 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4454 - mean_absolute_error: 0.4454 - val_loss: 0.4757 - val_mean_absolute_error: 0.4757 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4393 - mean_absolute_error: 0.4393 - val_loss: 0.4764 - val_mean_absolute_error: 0.4764 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4361 - mean_absolute_error: 0.4361 - val_loss: 0.4778 - val_mean_absolute_error: 0.4778 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4420 - mean_absolute_error: 0.4420 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4434 - mean_absolute_error: 0.4434 - val_loss: 0.4750 - val_mean_absolute_error: 0.4750 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4294 - mean_absolute_error: 0.4294 - val_loss: 0.4821 - val_mean_absolute_error: 0.4821 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4397 - mean_absolute_error: 0.4397 - val_loss: 0.4790 - val_mean_absolute_error: 0.4790 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4348 - mean_absolute_error: 0.4348 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4340 - mean_absolute_error: 0.4340 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4407 - mean_absolute_error: 0.4407 - val_loss: 0.4778 - val_mean_absolute_error: 0.4778 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4343 - mean_absolute_error: 0.4343 - val_loss: 0.4687 - val_mean_absolute_error: 0.4687 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mean_absolute_error: 0.4461 - val_loss: 0.4723 - val_mean_absolute_error: 0.4723 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4313 - mean_absolute_error: 0.4313 - val_loss: 0.4703 - val_mean_absolute_error: 0.4703 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4374 - mean_absolute_error: 0.4374 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4460 - mean_absolute_error: 0.4460 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4327 - mean_absolute_error: 0.4327 - val_loss: 0.4774 - val_mean_absolute_error: 0.4774 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4402 - mean_absolute_error: 0.4402 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4372 - mean_absolute_error: 0.4372 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4360 - mean_absolute_error: 0.4360 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mean_absolute_error: 0.4318 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4312 - mean_absolute_error: 0.4312 - val_loss: 0.4718 - val_mean_absolute_error: 0.4718 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4356 - mean_absolute_error: 0.4356 - val_loss: 0.4718 - val_mean_absolute_error: 0.4718 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4699 - val_mean_absolute_error: 0.4699 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.4756 - val_mean_absolute_error: 0.4756 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4323 - mean_absolute_error: 0.4323 - val_loss: 0.4702 - val_mean_absolute_error: 0.4702 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4320 - mean_absolute_error: 0.4320 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.4691 - val_mean_absolute_error: 0.4691 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.4816 - val_mean_absolute_error: 0.4816 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4369 - mean_absolute_error: 0.4369 - val_loss: 0.4752 - val_mean_absolute_error: 0.4752 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.4798 - val_mean_absolute_error: 0.4798 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4370 - mean_absolute_error: 0.4370 - val_loss: 0.4807 - val_mean_absolute_error: 0.4807 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4317 - mean_absolute_error: 0.4317 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4380 - mean_absolute_error: 0.4380 - val_loss: 0.4757 - val_mean_absolute_error: 0.4757 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4308 - mean_absolute_error: 0.4308 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4374 - mean_absolute_error: 0.4374 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4306 - mean_absolute_error: 0.4306 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4329 - mean_absolute_error: 0.4329 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4303 - mean_absolute_error: 0.4303 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4329 - mean_absolute_error: 0.4329 - val_loss: 0.4716 - val_mean_absolute_error: 0.4716 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4780 - val_mean_absolute_error: 0.4780 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4935 - val_mean_absolute_error: 0.4935 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4317 - mean_absolute_error: 0.4317 - val_loss: 0.4787 - val_mean_absolute_error: 0.4787 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4274 - mean_absolute_error: 0.4274 - val_loss: 0.4762 - val_mean_absolute_error: 0.4762 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4299 - mean_absolute_error: 0.4299 - val_loss: 0.4760 - val_mean_absolute_error: 0.4760 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.4691 - val_mean_absolute_error: 0.4691 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4278 - mean_absolute_error: 0.4278 - val_loss: 0.4705 - val_mean_absolute_error: 0.4705 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4724 - val_mean_absolute_error: 0.4724 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4362 - mean_absolute_error: 0.4362 - val_loss: 0.4793 - val_mean_absolute_error: 0.4793 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4280 - mean_absolute_error: 0.4280 - val_loss: 0.4721 - val_mean_absolute_error: 0.4721 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4340 - mean_absolute_error: 0.4340 - val_loss: 0.4766 - val_mean_absolute_error: 0.4766 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4383 - mean_absolute_error: 0.4383 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4358 - mean_absolute_error: 0.4358 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4323 - mean_absolute_error: 0.4323 - val_loss: 0.4750 - val_mean_absolute_error: 0.4750 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4320 - mean_absolute_error: 0.4320 - val_loss: 0.4855 - val_mean_absolute_error: 0.4855 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4789 - val_mean_absolute_error: 0.4789 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4321 - mean_absolute_error: 0.4321 - val_loss: 0.4822 - val_mean_absolute_error: 0.4822 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.4741 - val_mean_absolute_error: 0.4741 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4296 - mean_absolute_error: 0.4296 - val_loss: 0.4726 - val_mean_absolute_error: 0.4726 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4695 - val_mean_absolute_error: 0.4695 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4250 - mean_absolute_error: 0.4250 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4355 - mean_absolute_error: 0.4355 - val_loss: 0.4787 - val_mean_absolute_error: 0.4787 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4233 - mean_absolute_error: 0.4233 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4390 - mean_absolute_error: 0.4390 - val_loss: 0.4836 - val_mean_absolute_error: 0.4836 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4250 - mean_absolute_error: 0.4250 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4288 - mean_absolute_error: 0.4288 - val_loss: 0.5180 - val_mean_absolute_error: 0.5180 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4416 - mean_absolute_error: 0.4416 - val_loss: 0.4788 - val_mean_absolute_error: 0.4788 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.4806 - val_mean_absolute_error: 0.4806 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4239 - mean_absolute_error: 0.4239 - val_loss: 0.4794 - val_mean_absolute_error: 0.4794 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4240 - mean_absolute_error: 0.4240 - val_loss: 0.4895 - val_mean_absolute_error: 0.4895 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4265 - mean_absolute_error: 0.4265 - val_loss: 0.4697 - val_mean_absolute_error: 0.4697 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4389 - mean_absolute_error: 0.4389 - val_loss: 0.4847 - val_mean_absolute_error: 0.4847 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4324 - mean_absolute_error: 0.4324 - val_loss: 0.4718 - val_mean_absolute_error: 0.4718 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4262 - mean_absolute_error: 0.4262 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4326 - mean_absolute_error: 0.4326 - val_loss: 0.4763 - val_mean_absolute_error: 0.4763 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4342 - mean_absolute_error: 0.4342 - val_loss: 0.4749 - val_mean_absolute_error: 0.4749 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4223 - mean_absolute_error: 0.4223 - val_loss: 0.4841 - val_mean_absolute_error: 0.4841 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4295 - mean_absolute_error: 0.4295 - val_loss: 0.4775 - val_mean_absolute_error: 0.4775 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.4893 - val_mean_absolute_error: 0.4893 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4256 - mean_absolute_error: 0.4256 - val_loss: 0.4746 - val_mean_absolute_error: 0.4746 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4207 - mean_absolute_error: 0.4207 - val_loss: 0.4794 - val_mean_absolute_error: 0.4794 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.4814 - val_mean_absolute_error: 0.4814 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4276 - mean_absolute_error: 0.4276 - val_loss: 0.4712 - val_mean_absolute_error: 0.4712 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4781 - val_mean_absolute_error: 0.4781 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4286 - mean_absolute_error: 0.4286 - val_loss: 0.4792 - val_mean_absolute_error: 0.4792 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4281 - mean_absolute_error: 0.4281 - val_loss: 0.4757 - val_mean_absolute_error: 0.4757 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4217 - mean_absolute_error: 0.4217 - val_loss: 0.4676 - val_mean_absolute_error: 0.4676 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4313 - mean_absolute_error: 0.4313 - val_loss: 0.4696 - val_mean_absolute_error: 0.4696 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4769 - val_mean_absolute_error: 0.4769 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4303 - mean_absolute_error: 0.4303 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4356 - mean_absolute_error: 0.4356 - val_loss: 0.4827 - val_mean_absolute_error: 0.4827 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4291 - mean_absolute_error: 0.4291 - val_loss: 0.4769 - val_mean_absolute_error: 0.4769 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4350 - mean_absolute_error: 0.4350 - val_loss: 0.4797 - val_mean_absolute_error: 0.4797 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4278 - mean_absolute_error: 0.4278 - val_loss: 0.4871 - val_mean_absolute_error: 0.4871 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.4738 - val_mean_absolute_error: 0.4738 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.4819 - val_mean_absolute_error: 0.4819 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4296 - mean_absolute_error: 0.4296 - val_loss: 0.5156 - val_mean_absolute_error: 0.5156 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4401 - mean_absolute_error: 0.4401 - val_loss: 0.4735 - val_mean_absolute_error: 0.4735 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4328 - mean_absolute_error: 0.4328 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4254 - mean_absolute_error: 0.4254 - val_loss: 0.4787 - val_mean_absolute_error: 0.4787 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4731 - val_mean_absolute_error: 0.4731 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4233 - mean_absolute_error: 0.4233 - val_loss: 0.4766 - val_mean_absolute_error: 0.4766 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4270 - mean_absolute_error: 0.4270 - val_loss: 0.4706 - val_mean_absolute_error: 0.4706 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4340 - mean_absolute_error: 0.4340 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4289 - mean_absolute_error: 0.4289 - val_loss: 0.4892 - val_mean_absolute_error: 0.4892 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4232 - mean_absolute_error: 0.4232 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4236 - mean_absolute_error: 0.4236 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4208 - mean_absolute_error: 0.4208 - val_loss: 0.4649 - val_mean_absolute_error: 0.4649 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4182 - mean_absolute_error: 0.4182 - val_loss: 0.4710 - val_mean_absolute_error: 0.4710 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4306 - mean_absolute_error: 0.4306 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4288 - mean_absolute_error: 0.4288 - val_loss: 0.4728 - val_mean_absolute_error: 0.4728 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4354 - mean_absolute_error: 0.4354 - val_loss: 0.4842 - val_mean_absolute_error: 0.4842 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4863 - val_mean_absolute_error: 0.4863 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4309 - mean_absolute_error: 0.4309 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4272 - mean_absolute_error: 0.4272 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4293 - mean_absolute_error: 0.4293 - val_loss: 0.4709 - val_mean_absolute_error: 0.4709 Epoch 312/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4684 - val_mean_absolute_error: 0.4684 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4892 - val_mean_absolute_error: 0.4892 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.4794 - val_mean_absolute_error: 0.4794 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4183 - mean_absolute_error: 0.4183 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4341 - mean_absolute_error: 0.4341 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4306 - mean_absolute_error: 0.4306 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4334 - mean_absolute_error: 0.4334 - val_loss: 0.4720 - val_mean_absolute_error: 0.4720 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4193 - mean_absolute_error: 0.4193 - val_loss: 0.4731 - val_mean_absolute_error: 0.4731 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4214 - mean_absolute_error: 0.4214 - val_loss: 0.4704 - val_mean_absolute_error: 0.4704 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4315 - mean_absolute_error: 0.4315 - val_loss: 0.4772 - val_mean_absolute_error: 0.4772 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4191 - mean_absolute_error: 0.4191 - val_loss: 0.4733 - val_mean_absolute_error: 0.4733 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4203 - mean_absolute_error: 0.4203 - val_loss: 0.4799 - val_mean_absolute_error: 0.4799 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4729 - val_mean_absolute_error: 0.4729 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4256 - mean_absolute_error: 0.4256 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4254 - mean_absolute_error: 0.4254 - val_loss: 0.4634 - val_mean_absolute_error: 0.4634 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4184 - mean_absolute_error: 0.4184 - val_loss: 0.4705 - val_mean_absolute_error: 0.4705 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4187 - mean_absolute_error: 0.4187 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4218 - mean_absolute_error: 0.4218 - val_loss: 0.4651 - val_mean_absolute_error: 0.4651 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4630 - val_mean_absolute_error: 0.4630 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4185 - mean_absolute_error: 0.4185 - val_loss: 0.4697 - val_mean_absolute_error: 0.4697 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.4844 - val_mean_absolute_error: 0.4844 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4285 - mean_absolute_error: 0.4285 - val_loss: 0.4762 - val_mean_absolute_error: 0.4762 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4752 - val_mean_absolute_error: 0.4752 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4225 - mean_absolute_error: 0.4225 - val_loss: 0.4630 - val_mean_absolute_error: 0.4630 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4181 - mean_absolute_error: 0.4181 - val_loss: 0.4731 - val_mean_absolute_error: 0.4731 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4148 - mean_absolute_error: 0.4148 - val_loss: 0.4733 - val_mean_absolute_error: 0.4733 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4203 - mean_absolute_error: 0.4203 - val_loss: 0.4776 - val_mean_absolute_error: 0.4776 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4815 - val_mean_absolute_error: 0.4815 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4304 - mean_absolute_error: 0.4304 - val_loss: 0.4755 - val_mean_absolute_error: 0.4755 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4672 - val_mean_absolute_error: 0.4672 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4275 - mean_absolute_error: 0.4275 - val_loss: 0.4689 - val_mean_absolute_error: 0.4689 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4144 - mean_absolute_error: 0.4144 - val_loss: 0.4767 - val_mean_absolute_error: 0.4767 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4221 - mean_absolute_error: 0.4221 - val_loss: 0.4823 - val_mean_absolute_error: 0.4823 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4319 - mean_absolute_error: 0.4319 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4360 - mean_absolute_error: 0.4360 - val_loss: 0.4649 - val_mean_absolute_error: 0.4649 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4272 - mean_absolute_error: 0.4272 - val_loss: 0.4627 - val_mean_absolute_error: 0.4627 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4223 - mean_absolute_error: 0.4223 - val_loss: 0.4691 - val_mean_absolute_error: 0.4691 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4207 - mean_absolute_error: 0.4207 - val_loss: 0.4664 - val_mean_absolute_error: 0.4664 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4236 - mean_absolute_error: 0.4236 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4658 - val_mean_absolute_error: 0.4658 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4332 - mean_absolute_error: 0.4332 - val_loss: 0.4812 - val_mean_absolute_error: 0.4812 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4263 - mean_absolute_error: 0.4263 - val_loss: 0.4838 - val_mean_absolute_error: 0.4838 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mean_absolute_error: 0.4279 - val_loss: 0.4788 - val_mean_absolute_error: 0.4788 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4144 - mean_absolute_error: 0.4144 - val_loss: 0.4749 - val_mean_absolute_error: 0.4749 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4152 - mean_absolute_error: 0.4152 - val_loss: 0.4637 - val_mean_absolute_error: 0.4637 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4200 - mean_absolute_error: 0.4200 - val_loss: 0.4753 - val_mean_absolute_error: 0.4753 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4187 - mean_absolute_error: 0.4187 - val_loss: 0.4692 - val_mean_absolute_error: 0.4692 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4218 - mean_absolute_error: 0.4218 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4202 - mean_absolute_error: 0.4202 - val_loss: 0.4681 - val_mean_absolute_error: 0.4681 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4186 - mean_absolute_error: 0.4186 - val_loss: 0.4791 - val_mean_absolute_error: 0.4791 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4162 - mean_absolute_error: 0.4162 - val_loss: 0.4699 - val_mean_absolute_error: 0.4699 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mean_absolute_error: 0.4231 - val_loss: 0.4672 - val_mean_absolute_error: 0.4672 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4175 - mean_absolute_error: 0.4175 - val_loss: 0.4801 - val_mean_absolute_error: 0.4801 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4277 - mean_absolute_error: 0.4277 - val_loss: 0.4741 - val_mean_absolute_error: 0.4741 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4225 - mean_absolute_error: 0.4225 - val_loss: 0.4748 - val_mean_absolute_error: 0.4748 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4172 - mean_absolute_error: 0.4172 - val_loss: 0.4810 - val_mean_absolute_error: 0.4810 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4156 - mean_absolute_error: 0.4156 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.4726 - val_mean_absolute_error: 0.4726 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4176 - mean_absolute_error: 0.4176 - val_loss: 0.4780 - val_mean_absolute_error: 0.4780 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4172 - mean_absolute_error: 0.4172 - val_loss: 0.4758 - val_mean_absolute_error: 0.4758 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.4748 - val_mean_absolute_error: 0.4748 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4168 - mean_absolute_error: 0.4168 - val_loss: 0.4805 - val_mean_absolute_error: 0.4805 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.4727 - val_mean_absolute_error: 0.4727 Epoch 00379: early stopping Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 4.5755 - mean_absolute_error: 4.5755 - val_loss: 2.6772 - val_mean_absolute_error: 2.6772 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 1.6517 - mean_absolute_error: 1.6517 - val_loss: 1.2873 - val_mean_absolute_error: 1.2873 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0628 - mean_absolute_error: 1.0628 - val_loss: 0.9926 - val_mean_absolute_error: 0.9926 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8510 - mean_absolute_error: 0.8510 - val_loss: 0.8463 - val_mean_absolute_error: 0.8463 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7295 - mean_absolute_error: 0.7295 - val_loss: 0.7510 - val_mean_absolute_error: 0.7510 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6641 - mean_absolute_error: 0.6641 - val_loss: 0.7024 - val_mean_absolute_error: 0.7024 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6122 - mean_absolute_error: 0.6122 - val_loss: 0.6346 - val_mean_absolute_error: 0.6346 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5814 - mean_absolute_error: 0.5814 - val_loss: 0.5902 - val_mean_absolute_error: 0.5902 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5491 - mean_absolute_error: 0.5491 - val_loss: 0.5904 - val_mean_absolute_error: 0.5904 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5478 - mean_absolute_error: 0.5478 - val_loss: 0.5956 - val_mean_absolute_error: 0.5956 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5353 - mean_absolute_error: 0.5353 - val_loss: 0.5554 - val_mean_absolute_error: 0.5554 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5241 - mean_absolute_error: 0.5241 - val_loss: 0.5541 - val_mean_absolute_error: 0.5541 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5101 - mean_absolute_error: 0.5101 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5096 - mean_absolute_error: 0.5096 - val_loss: 0.5274 - val_mean_absolute_error: 0.5274 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4995 - mean_absolute_error: 0.4995 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5286 - val_mean_absolute_error: 0.5286 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4918 - mean_absolute_error: 0.4918 - val_loss: 0.5181 - val_mean_absolute_error: 0.5181 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4991 - mean_absolute_error: 0.4991 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5059 - mean_absolute_error: 0.5059 - val_loss: 0.5276 - val_mean_absolute_error: 0.5276 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4989 - mean_absolute_error: 0.4989 - val_loss: 0.6044 - val_mean_absolute_error: 0.6044 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5118 - mean_absolute_error: 0.5118 - val_loss: 0.5167 - val_mean_absolute_error: 0.5167 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4831 - mean_absolute_error: 0.4831 - val_loss: 0.5445 - val_mean_absolute_error: 0.5445 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4944 - mean_absolute_error: 0.4944 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4844 - mean_absolute_error: 0.4844 - val_loss: 0.5146 - val_mean_absolute_error: 0.5146 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4793 - mean_absolute_error: 0.4793 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5164 - val_mean_absolute_error: 0.5164 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.5090 - val_mean_absolute_error: 0.5090 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.5404 - val_mean_absolute_error: 0.5404 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.5099 - val_mean_absolute_error: 0.5099 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5215 - val_mean_absolute_error: 0.5215 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.5229 - val_mean_absolute_error: 0.5229 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4663 - mean_absolute_error: 0.4663 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.5126 - val_mean_absolute_error: 0.5126 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_absolute_error: 0.4658 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4655 - mean_absolute_error: 0.4655 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4589 - mean_absolute_error: 0.4589 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4660 - mean_absolute_error: 0.4660 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4638 - mean_absolute_error: 0.4638 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4619 - mean_absolute_error: 0.4619 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.5300 - val_mean_absolute_error: 0.5300 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4644 - mean_absolute_error: 0.4644 - val_loss: 0.5148 - val_mean_absolute_error: 0.5148 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4633 - mean_absolute_error: 0.4633 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4557 - mean_absolute_error: 0.4557 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4565 - mean_absolute_error: 0.4565 - val_loss: 0.5062 - val_mean_absolute_error: 0.5062 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4565 - mean_absolute_error: 0.4565 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4618 - mean_absolute_error: 0.4618 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4623 - mean_absolute_error: 0.4623 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4597 - mean_absolute_error: 0.4597 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4662 - mean_absolute_error: 0.4662 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4584 - mean_absolute_error: 0.4584 - val_loss: 0.5095 - val_mean_absolute_error: 0.5095 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4575 - mean_absolute_error: 0.4575 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mean_absolute_error: 0.4559 - val_loss: 0.5320 - val_mean_absolute_error: 0.5320 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.5116 - val_mean_absolute_error: 0.5116 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4596 - mean_absolute_error: 0.4596 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4653 - mean_absolute_error: 0.4653 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mean_absolute_error: 0.4590 - val_loss: 0.5187 - val_mean_absolute_error: 0.5187 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4569 - mean_absolute_error: 0.4569 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4554 - mean_absolute_error: 0.4554 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4554 - mean_absolute_error: 0.4554 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4633 - mean_absolute_error: 0.4633 - val_loss: 0.5160 - val_mean_absolute_error: 0.5160 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.5204 - val_mean_absolute_error: 0.5204 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4547 - mean_absolute_error: 0.4547 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4612 - mean_absolute_error: 0.4612 - val_loss: 0.5105 - val_mean_absolute_error: 0.5105 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4601 - mean_absolute_error: 0.4601 - val_loss: 0.4998 - val_mean_absolute_error: 0.4998 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4516 - mean_absolute_error: 0.4516 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mean_absolute_error: 0.4533 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4520 - mean_absolute_error: 0.4520 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mean_absolute_error: 0.4560 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4606 - mean_absolute_error: 0.4606 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4525 - mean_absolute_error: 0.4525 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4484 - mean_absolute_error: 0.4484 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4491 - mean_absolute_error: 0.4491 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4523 - mean_absolute_error: 0.4523 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4499 - mean_absolute_error: 0.4499 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mean_absolute_error: 0.4613 - val_loss: 0.5061 - val_mean_absolute_error: 0.5061 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.5050 - val_mean_absolute_error: 0.5050 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4605 - mean_absolute_error: 0.4605 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4578 - mean_absolute_error: 0.4578 - val_loss: 0.5063 - val_mean_absolute_error: 0.5063 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4507 - mean_absolute_error: 0.4507 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4489 - mean_absolute_error: 0.4489 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4498 - mean_absolute_error: 0.4498 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4591 - mean_absolute_error: 0.4591 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4603 - mean_absolute_error: 0.4603 - val_loss: 0.5136 - val_mean_absolute_error: 0.5136 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4544 - mean_absolute_error: 0.4544 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4502 - mean_absolute_error: 0.4502 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mean_absolute_error: 0.4563 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4581 - mean_absolute_error: 0.4581 - val_loss: 0.5168 - val_mean_absolute_error: 0.5168 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4528 - mean_absolute_error: 0.4528 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4475 - mean_absolute_error: 0.4475 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4460 - mean_absolute_error: 0.4460 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4495 - mean_absolute_error: 0.4495 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4526 - mean_absolute_error: 0.4526 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mean_absolute_error: 0.4654 - val_loss: 0.5009 - val_mean_absolute_error: 0.5009 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4529 - mean_absolute_error: 0.4529 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4479 - mean_absolute_error: 0.4479 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4437 - mean_absolute_error: 0.4437 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4483 - mean_absolute_error: 0.4483 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mean_absolute_error: 0.4468 - val_loss: 0.5070 - val_mean_absolute_error: 0.5070 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4471 - mean_absolute_error: 0.4471 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4430 - mean_absolute_error: 0.4430 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4442 - mean_absolute_error: 0.4442 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4429 - mean_absolute_error: 0.4429 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mean_absolute_error: 0.4464 - val_loss: 0.5040 - val_mean_absolute_error: 0.5040 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4497 - mean_absolute_error: 0.4497 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4517 - mean_absolute_error: 0.4517 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4433 - mean_absolute_error: 0.4433 - val_loss: 0.5124 - val_mean_absolute_error: 0.5124 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4510 - mean_absolute_error: 0.4510 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4500 - mean_absolute_error: 0.4500 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4487 - mean_absolute_error: 0.4487 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4480 - mean_absolute_error: 0.4480 - val_loss: 0.5108 - val_mean_absolute_error: 0.5108 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4630 - mean_absolute_error: 0.4630 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4514 - mean_absolute_error: 0.4514 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4530 - mean_absolute_error: 0.4530 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4499 - mean_absolute_error: 0.4499 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4400 - mean_absolute_error: 0.4400 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4573 - mean_absolute_error: 0.4573 - val_loss: 0.4855 - val_mean_absolute_error: 0.4855 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4406 - mean_absolute_error: 0.4406 - val_loss: 0.5202 - val_mean_absolute_error: 0.5202 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4443 - mean_absolute_error: 0.4443 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mean_absolute_error: 0.4464 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4432 - mean_absolute_error: 0.4432 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4441 - mean_absolute_error: 0.4441 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4383 - mean_absolute_error: 0.4383 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4420 - mean_absolute_error: 0.4420 - val_loss: 0.4852 - val_mean_absolute_error: 0.4852 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4391 - mean_absolute_error: 0.4391 - val_loss: 0.4846 - val_mean_absolute_error: 0.4846 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4372 - mean_absolute_error: 0.4372 - val_loss: 0.4859 - val_mean_absolute_error: 0.4859 Epoch 146/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4368 - mean_absolute_error: 0.4368 - val_loss: 0.4848 - val_mean_absolute_error: 0.4848 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4403 - mean_absolute_error: 0.4403 - val_loss: 0.4851 - val_mean_absolute_error: 0.4851 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4392 - mean_absolute_error: 0.4392 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4405 - mean_absolute_error: 0.4405 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4415 - mean_absolute_error: 0.4415 - val_loss: 0.4933 - val_mean_absolute_error: 0.4933 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4427 - mean_absolute_error: 0.4427 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4509 - mean_absolute_error: 0.4509 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4387 - mean_absolute_error: 0.4387 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4395 - mean_absolute_error: 0.4395 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4383 - mean_absolute_error: 0.4383 - val_loss: 0.4881 - val_mean_absolute_error: 0.4881 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4344 - mean_absolute_error: 0.4344 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4356 - mean_absolute_error: 0.4356 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.4856 - val_mean_absolute_error: 0.4856 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4414 - mean_absolute_error: 0.4414 - val_loss: 0.5039 - val_mean_absolute_error: 0.5039 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4378 - mean_absolute_error: 0.4378 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4357 - mean_absolute_error: 0.4357 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4871 - val_mean_absolute_error: 0.4871 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4378 - mean_absolute_error: 0.4378 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4346 - mean_absolute_error: 0.4346 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4412 - mean_absolute_error: 0.4412 - val_loss: 0.4875 - val_mean_absolute_error: 0.4875 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4409 - mean_absolute_error: 0.4409 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4345 - mean_absolute_error: 0.4345 - val_loss: 0.4828 - val_mean_absolute_error: 0.4828 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4411 - mean_absolute_error: 0.4411 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4327 - mean_absolute_error: 0.4327 - val_loss: 0.4884 - val_mean_absolute_error: 0.4884 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4362 - mean_absolute_error: 0.4362 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4315 - mean_absolute_error: 0.4315 - val_loss: 0.4849 - val_mean_absolute_error: 0.4849 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4355 - mean_absolute_error: 0.4355 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4363 - mean_absolute_error: 0.4363 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4331 - mean_absolute_error: 0.4331 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4327 - mean_absolute_error: 0.4327 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4361 - mean_absolute_error: 0.4361 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.4858 - val_mean_absolute_error: 0.4858 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4350 - mean_absolute_error: 0.4350 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4370 - mean_absolute_error: 0.4370 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4366 - mean_absolute_error: 0.4366 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4313 - mean_absolute_error: 0.4313 - val_loss: 0.4904 - val_mean_absolute_error: 0.4904 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4356 - mean_absolute_error: 0.4356 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4858 - val_mean_absolute_error: 0.4858 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4323 - mean_absolute_error: 0.4323 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4310 - mean_absolute_error: 0.4310 - val_loss: 0.4861 - val_mean_absolute_error: 0.4861 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4287 - mean_absolute_error: 0.4287 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4402 - mean_absolute_error: 0.4402 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4347 - mean_absolute_error: 0.4347 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4315 - mean_absolute_error: 0.4315 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4300 - mean_absolute_error: 0.4300 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4379 - mean_absolute_error: 0.4379 - val_loss: 0.4832 - val_mean_absolute_error: 0.4832 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4377 - mean_absolute_error: 0.4377 - val_loss: 0.5272 - val_mean_absolute_error: 0.5272 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4431 - mean_absolute_error: 0.4431 - val_loss: 0.4885 - val_mean_absolute_error: 0.4885 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4313 - mean_absolute_error: 0.4313 - val_loss: 0.4900 - val_mean_absolute_error: 0.4900 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4276 - mean_absolute_error: 0.4276 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4253 - mean_absolute_error: 0.4253 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4330 - mean_absolute_error: 0.4330 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4254 - mean_absolute_error: 0.4254 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4270 - mean_absolute_error: 0.4270 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4263 - mean_absolute_error: 0.4263 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4315 - mean_absolute_error: 0.4315 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4339 - mean_absolute_error: 0.4339 - val_loss: 0.4839 - val_mean_absolute_error: 0.4839 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4282 - mean_absolute_error: 0.4282 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4250 - mean_absolute_error: 0.4250 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4306 - mean_absolute_error: 0.4306 - val_loss: 0.4878 - val_mean_absolute_error: 0.4878 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4342 - mean_absolute_error: 0.4342 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4297 - mean_absolute_error: 0.4297 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4364 - mean_absolute_error: 0.4364 - val_loss: 0.4881 - val_mean_absolute_error: 0.4881 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4244 - mean_absolute_error: 0.4244 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4311 - mean_absolute_error: 0.4311 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4262 - mean_absolute_error: 0.4262 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4273 - mean_absolute_error: 0.4273 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4274 - mean_absolute_error: 0.4274 - val_loss: 0.4834 - val_mean_absolute_error: 0.4834 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4314 - mean_absolute_error: 0.4314 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4290 - mean_absolute_error: 0.4290 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4261 - mean_absolute_error: 0.4261 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mean_absolute_error: 0.4298 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4336 - mean_absolute_error: 0.4336 - val_loss: 0.4858 - val_mean_absolute_error: 0.4858 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4289 - mean_absolute_error: 0.4289 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4322 - mean_absolute_error: 0.4322 - val_loss: 0.4867 - val_mean_absolute_error: 0.4867 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mean_absolute_error: 0.4318 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4342 - mean_absolute_error: 0.4342 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4248 - mean_absolute_error: 0.4248 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4234 - mean_absolute_error: 0.4234 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4267 - mean_absolute_error: 0.4267 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4250 - mean_absolute_error: 0.4250 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4258 - mean_absolute_error: 0.4258 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4233 - mean_absolute_error: 0.4233 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4296 - mean_absolute_error: 0.4296 - val_loss: 0.4875 - val_mean_absolute_error: 0.4875 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mean_absolute_error: 0.4229 - val_loss: 0.4815 - val_mean_absolute_error: 0.4815 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4254 - mean_absolute_error: 0.4254 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mean_absolute_error: 0.4259 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.4907 - val_mean_absolute_error: 0.4907 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mean_absolute_error: 0.4305 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4333 - mean_absolute_error: 0.4333 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4245 - mean_absolute_error: 0.4245 - val_loss: 0.4872 - val_mean_absolute_error: 0.4872 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4257 - mean_absolute_error: 0.4257 - val_loss: 0.4829 - val_mean_absolute_error: 0.4829 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4239 - mean_absolute_error: 0.4239 - val_loss: 0.4868 - val_mean_absolute_error: 0.4868 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4253 - mean_absolute_error: 0.4253 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4252 - mean_absolute_error: 0.4252 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4274 - mean_absolute_error: 0.4274 - val_loss: 0.4882 - val_mean_absolute_error: 0.4882 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4248 - mean_absolute_error: 0.4248 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4224 - mean_absolute_error: 0.4224 - val_loss: 0.4873 - val_mean_absolute_error: 0.4873 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4186 - mean_absolute_error: 0.4186 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4226 - mean_absolute_error: 0.4226 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4240 - mean_absolute_error: 0.4240 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4252 - mean_absolute_error: 0.4252 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4221 - mean_absolute_error: 0.4221 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4373 - mean_absolute_error: 0.4373 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4317 - mean_absolute_error: 0.4317 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4209 - mean_absolute_error: 0.4209 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4203 - mean_absolute_error: 0.4203 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4235 - mean_absolute_error: 0.4235 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4217 - mean_absolute_error: 0.4217 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4221 - mean_absolute_error: 0.4221 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4240 - mean_absolute_error: 0.4240 - val_loss: 0.4850 - val_mean_absolute_error: 0.4850 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4210 - mean_absolute_error: 0.4210 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4198 - mean_absolute_error: 0.4198 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4174 - mean_absolute_error: 0.4174 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4206 - mean_absolute_error: 0.4206 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4215 - mean_absolute_error: 0.4215 - val_loss: 0.4902 - val_mean_absolute_error: 0.4902 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4249 - mean_absolute_error: 0.4249 - val_loss: 0.4877 - val_mean_absolute_error: 0.4877 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4213 - mean_absolute_error: 0.4213 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4212 - mean_absolute_error: 0.4212 - val_loss: 0.4889 - val_mean_absolute_error: 0.4889 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4206 - mean_absolute_error: 0.4206 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4174 - mean_absolute_error: 0.4174 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4225 - mean_absolute_error: 0.4225 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4219 - mean_absolute_error: 0.4219 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4197 - mean_absolute_error: 0.4197 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4173 - mean_absolute_error: 0.4173 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mean_absolute_error: 0.4271 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4183 - mean_absolute_error: 0.4183 - val_loss: 0.4870 - val_mean_absolute_error: 0.4870 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4193 - mean_absolute_error: 0.4193 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4190 - mean_absolute_error: 0.4190 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4193 - mean_absolute_error: 0.4193 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4268 - mean_absolute_error: 0.4268 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mean_absolute_error: 0.4220 - val_loss: 0.4854 - val_mean_absolute_error: 0.4854 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4207 - mean_absolute_error: 0.4207 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4202 - mean_absolute_error: 0.4202 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4208 - mean_absolute_error: 0.4208 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4256 - mean_absolute_error: 0.4256 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4223 - mean_absolute_error: 0.4223 - val_loss: 0.4884 - val_mean_absolute_error: 0.4884 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4162 - mean_absolute_error: 0.4162 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4207 - mean_absolute_error: 0.4207 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4166 - mean_absolute_error: 0.4166 - val_loss: 0.4857 - val_mean_absolute_error: 0.4857 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4148 - mean_absolute_error: 0.4148 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4131 - mean_absolute_error: 0.4131 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4255 - mean_absolute_error: 0.4255 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4210 - mean_absolute_error: 0.4210 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4205 - mean_absolute_error: 0.4205 - val_loss: 0.5110 - val_mean_absolute_error: 0.5110 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4230 - mean_absolute_error: 0.4230 - val_loss: 0.4888 - val_mean_absolute_error: 0.4888 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4159 - mean_absolute_error: 0.4159 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4182 - mean_absolute_error: 0.4182 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4201 - mean_absolute_error: 0.4201 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4201 - mean_absolute_error: 0.4201 - val_loss: 0.4885 - val_mean_absolute_error: 0.4885 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4154 - mean_absolute_error: 0.4154 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4214 - mean_absolute_error: 0.4214 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4208 - mean_absolute_error: 0.4208 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4178 - mean_absolute_error: 0.4178 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4150 - mean_absolute_error: 0.4150 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4130 - mean_absolute_error: 0.4130 - val_loss: 0.4918 - val_mean_absolute_error: 0.4918 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4150 - mean_absolute_error: 0.4150 - val_loss: 0.5053 - val_mean_absolute_error: 0.5053 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4290 - mean_absolute_error: 0.4290 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4239 - mean_absolute_error: 0.4239 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4177 - mean_absolute_error: 0.4177 - val_loss: 0.4914 - val_mean_absolute_error: 0.4914 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4242 - mean_absolute_error: 0.4242 - val_loss: 0.4908 - val_mean_absolute_error: 0.4908 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4187 - mean_absolute_error: 0.4187 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4210 - mean_absolute_error: 0.4210 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4174 - mean_absolute_error: 0.4174 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4154 - mean_absolute_error: 0.4154 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4217 - mean_absolute_error: 0.4217 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4137 - mean_absolute_error: 0.4137 - val_loss: 0.4892 - val_mean_absolute_error: 0.4892 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4121 - mean_absolute_error: 0.4121 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4130 - mean_absolute_error: 0.4130 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4170 - mean_absolute_error: 0.4170 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4136 - mean_absolute_error: 0.4136 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4152 - mean_absolute_error: 0.4152 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4135 - mean_absolute_error: 0.4135 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4196 - mean_absolute_error: 0.4196 - val_loss: 0.4885 - val_mean_absolute_error: 0.4885 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4157 - mean_absolute_error: 0.4157 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4140 - mean_absolute_error: 0.4140 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4146 - mean_absolute_error: 0.4146 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4164 - mean_absolute_error: 0.4164 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4188 - mean_absolute_error: 0.4188 - val_loss: 0.5130 - val_mean_absolute_error: 0.5130 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4248 - mean_absolute_error: 0.4248 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4194 - mean_absolute_error: 0.4194 - val_loss: 0.5093 - val_mean_absolute_error: 0.5093 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4154 - mean_absolute_error: 0.4154 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4156 - mean_absolute_error: 0.4156 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4139 - mean_absolute_error: 0.4139 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4113 - mean_absolute_error: 0.4113 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4185 - mean_absolute_error: 0.4185 - val_loss: 0.5024 - val_mean_absolute_error: 0.5024 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4207 - mean_absolute_error: 0.4207 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4163 - mean_absolute_error: 0.4163 - val_loss: 0.4930 - val_mean_absolute_error: 0.4930 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4130 - mean_absolute_error: 0.4130 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4109 - mean_absolute_error: 0.4109 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4155 - mean_absolute_error: 0.4155 - val_loss: 0.4924 - val_mean_absolute_error: 0.4924 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4149 - mean_absolute_error: 0.4149 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4143 - mean_absolute_error: 0.4143 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4126 - mean_absolute_error: 0.4126 - val_loss: 0.4936 - val_mean_absolute_error: 0.4936 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4123 - mean_absolute_error: 0.4123 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4176 - mean_absolute_error: 0.4176 - val_loss: 0.4915 - val_mean_absolute_error: 0.4915 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4136 - mean_absolute_error: 0.4136 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4197 - mean_absolute_error: 0.4197 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4123 - mean_absolute_error: 0.4123 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4131 - mean_absolute_error: 0.4131 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4175 - mean_absolute_error: 0.4175 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4129 - mean_absolute_error: 0.4129 - val_loss: 0.5007 - val_mean_absolute_error: 0.5007 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4120 - mean_absolute_error: 0.4120 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4125 - mean_absolute_error: 0.4125 - val_loss: 0.4891 - val_mean_absolute_error: 0.4891 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4133 - mean_absolute_error: 0.4133 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4101 - mean_absolute_error: 0.4101 - val_loss: 0.4926 - val_mean_absolute_error: 0.4926 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4219 - mean_absolute_error: 0.4219 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4138 - mean_absolute_error: 0.4138 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4150 - mean_absolute_error: 0.4150 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4115 - mean_absolute_error: 0.4115 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4212 - mean_absolute_error: 0.4212 - val_loss: 0.5165 - val_mean_absolute_error: 0.5165 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4183 - mean_absolute_error: 0.4183 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4157 - mean_absolute_error: 0.4157 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4112 - mean_absolute_error: 0.4112 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4099 - mean_absolute_error: 0.4099 - val_loss: 0.4905 - val_mean_absolute_error: 0.4905 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4107 - mean_absolute_error: 0.4107 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4122 - mean_absolute_error: 0.4122 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4120 - mean_absolute_error: 0.4120 - val_loss: 0.4921 - val_mean_absolute_error: 0.4921 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4098 - mean_absolute_error: 0.4098 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4119 - mean_absolute_error: 0.4119 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4123 - mean_absolute_error: 0.4123 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4124 - mean_absolute_error: 0.4124 - val_loss: 0.4890 - val_mean_absolute_error: 0.4890 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4129 - mean_absolute_error: 0.4129 - val_loss: 0.4925 - val_mean_absolute_error: 0.4925 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4095 - mean_absolute_error: 0.4095 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4119 - mean_absolute_error: 0.4119 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4145 - mean_absolute_error: 0.4145 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4134 - mean_absolute_error: 0.4134 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4149 - mean_absolute_error: 0.4149 - val_loss: 0.4927 - val_mean_absolute_error: 0.4927 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4088 - mean_absolute_error: 0.4088 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4077 - mean_absolute_error: 0.4077 - val_loss: 0.4894 - val_mean_absolute_error: 0.4894 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4090 - mean_absolute_error: 0.4090 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4071 - mean_absolute_error: 0.4071 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4075 - mean_absolute_error: 0.4075 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4088 - mean_absolute_error: 0.4088 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4095 - mean_absolute_error: 0.4095 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4102 - mean_absolute_error: 0.4102 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4124 - mean_absolute_error: 0.4124 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4101 - mean_absolute_error: 0.4101 - val_loss: 0.5051 - val_mean_absolute_error: 0.5051 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4111 - mean_absolute_error: 0.4111 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4099 - mean_absolute_error: 0.4099 - val_loss: 0.4904 - val_mean_absolute_error: 0.4904 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4107 - mean_absolute_error: 0.4107 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4124 - mean_absolute_error: 0.4124 - val_loss: 0.4840 - val_mean_absolute_error: 0.4840 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4130 - mean_absolute_error: 0.4130 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4111 - mean_absolute_error: 0.4111 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4120 - mean_absolute_error: 0.4120 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4135 - mean_absolute_error: 0.4135 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4095 - mean_absolute_error: 0.4095 - val_loss: 0.4904 - val_mean_absolute_error: 0.4904 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4083 - mean_absolute_error: 0.4083 - val_loss: 0.4862 - val_mean_absolute_error: 0.4862 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4092 - mean_absolute_error: 0.4092 - val_loss: 0.4912 - val_mean_absolute_error: 0.4912 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4059 - mean_absolute_error: 0.4059 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4114 - mean_absolute_error: 0.4114 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4142 - mean_absolute_error: 0.4142 - val_loss: 0.4939 - val_mean_absolute_error: 0.4939 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4087 - mean_absolute_error: 0.4087 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4091 - mean_absolute_error: 0.4091 - val_loss: 0.4902 - val_mean_absolute_error: 0.4902 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4167 - mean_absolute_error: 0.4167 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4098 - mean_absolute_error: 0.4098 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mean_absolute_error: 0.4082 - val_loss: 0.4906 - val_mean_absolute_error: 0.4906 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4079 - mean_absolute_error: 0.4079 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4091 - mean_absolute_error: 0.4091 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4078 - mean_absolute_error: 0.4078 - val_loss: 0.4938 - val_mean_absolute_error: 0.4938 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4069 - mean_absolute_error: 0.4069 - val_loss: 0.4934 - val_mean_absolute_error: 0.4934 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4072 - mean_absolute_error: 0.4072 - val_loss: 0.4847 - val_mean_absolute_error: 0.4847 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4109 - mean_absolute_error: 0.4109 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4117 - mean_absolute_error: 0.4117 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4054 - mean_absolute_error: 0.4054 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4115 - mean_absolute_error: 0.4115 - val_loss: 0.4917 - val_mean_absolute_error: 0.4917 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4115 - mean_absolute_error: 0.4115 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4089 - mean_absolute_error: 0.4089 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4087 - mean_absolute_error: 0.4087 - val_loss: 0.4933 - val_mean_absolute_error: 0.4933 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4109 - mean_absolute_error: 0.4109 - val_loss: 0.4876 - val_mean_absolute_error: 0.4876 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4127 - mean_absolute_error: 0.4127 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4156 - mean_absolute_error: 0.4156 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4113 - mean_absolute_error: 0.4113 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4135 - mean_absolute_error: 0.4135 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4068 - mean_absolute_error: 0.4068 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4092 - mean_absolute_error: 0.4092 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4096 - mean_absolute_error: 0.4096 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4077 - mean_absolute_error: 0.4077 - val_loss: 0.4886 - val_mean_absolute_error: 0.4886 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4084 - mean_absolute_error: 0.4084 - val_loss: 0.4893 - val_mean_absolute_error: 0.4893 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4043 - mean_absolute_error: 0.4043 - val_loss: 0.4887 - val_mean_absolute_error: 0.4887 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4103 - mean_absolute_error: 0.4103 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4131 - mean_absolute_error: 0.4131 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4101 - mean_absolute_error: 0.4101 - val_loss: 0.4883 - val_mean_absolute_error: 0.4883 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4048 - mean_absolute_error: 0.4048 - val_loss: 0.4937 - val_mean_absolute_error: 0.4937 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4061 - mean_absolute_error: 0.4061 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4098 - mean_absolute_error: 0.4098 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4071 - mean_absolute_error: 0.4071 - val_loss: 0.4910 - val_mean_absolute_error: 0.4910 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4069 - mean_absolute_error: 0.4069 - val_loss: 0.4913 - val_mean_absolute_error: 0.4913 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4065 - mean_absolute_error: 0.4065 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4063 - mean_absolute_error: 0.4063 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4102 - mean_absolute_error: 0.4102 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4060 - mean_absolute_error: 0.4060 - val_loss: 0.4909 - val_mean_absolute_error: 0.4909 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4086 - mean_absolute_error: 0.4086 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4093 - mean_absolute_error: 0.4093 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4084 - mean_absolute_error: 0.4084 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4129 - mean_absolute_error: 0.4129 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4081 - mean_absolute_error: 0.4081 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mean_absolute_error: 0.4082 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4055 - mean_absolute_error: 0.4055 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4066 - mean_absolute_error: 0.4066 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4102 - mean_absolute_error: 0.4102 - val_loss: 0.4884 - val_mean_absolute_error: 0.4884 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4061 - mean_absolute_error: 0.4061 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4044 - mean_absolute_error: 0.4044 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4092 - mean_absolute_error: 0.4092 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4070 - mean_absolute_error: 0.4070 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4087 - mean_absolute_error: 0.4087 - val_loss: 0.4922 - val_mean_absolute_error: 0.4922 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4070 - mean_absolute_error: 0.4070 - val_loss: 0.4897 - val_mean_absolute_error: 0.4897 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4046 - mean_absolute_error: 0.4046 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4084 - mean_absolute_error: 0.4084 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4103 - mean_absolute_error: 0.4103 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4032 - mean_absolute_error: 0.4032 - val_loss: 0.4911 - val_mean_absolute_error: 0.4911 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4051 - mean_absolute_error: 0.4051 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4077 - mean_absolute_error: 0.4077 - val_loss: 0.4896 - val_mean_absolute_error: 0.4896 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4050 - mean_absolute_error: 0.4050 - val_loss: 0.4903 - val_mean_absolute_error: 0.4903 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4043 - mean_absolute_error: 0.4043 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4032 - mean_absolute_error: 0.4032 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4024 - mean_absolute_error: 0.4024 - val_loss: 0.4929 - val_mean_absolute_error: 0.4929 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4025 - mean_absolute_error: 0.4025 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4029 - mean_absolute_error: 0.4029 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4053 - mean_absolute_error: 0.4053 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4066 - mean_absolute_error: 0.4066 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4075 - mean_absolute_error: 0.4075 - val_loss: 0.4891 - val_mean_absolute_error: 0.4891 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4049 - mean_absolute_error: 0.4049 - val_loss: 0.5046 - val_mean_absolute_error: 0.5046 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4056 - mean_absolute_error: 0.4056 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4022 - mean_absolute_error: 0.4022 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4030 - mean_absolute_error: 0.4030 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4038 - mean_absolute_error: 0.4038 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4035 - mean_absolute_error: 0.4035 - val_loss: 0.4928 - val_mean_absolute_error: 0.4928 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4015 - mean_absolute_error: 0.4015 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4031 - mean_absolute_error: 0.4031 - val_loss: 0.5096 - val_mean_absolute_error: 0.5096 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4049 - mean_absolute_error: 0.4049 - val_loss: 0.4932 - val_mean_absolute_error: 0.4932 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4056 - mean_absolute_error: 0.4056 - val_loss: 0.4920 - val_mean_absolute_error: 0.4920 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4005 - mean_absolute_error: 0.4005 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4023 - mean_absolute_error: 0.4023 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4061 - mean_absolute_error: 0.4061 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4052 - mean_absolute_error: 0.4052 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3995 - mean_absolute_error: 0.3995 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4020 - mean_absolute_error: 0.4020 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4021 - mean_absolute_error: 0.4021 - val_loss: 0.5008 - val_mean_absolute_error: 0.5008 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4056 - mean_absolute_error: 0.4056 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4027 - mean_absolute_error: 0.4027 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 4.0856 - mean_absolute_error: 4.0856 - val_loss: 1.9696 - val_mean_absolute_error: 1.9696 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 1.3191 - mean_absolute_error: 1.3191 - val_loss: 1.1662 - val_mean_absolute_error: 1.1662 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 1.0235 - mean_absolute_error: 1.0235 - val_loss: 0.9869 - val_mean_absolute_error: 0.9869 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.9020 - mean_absolute_error: 0.9020 - val_loss: 0.8995 - val_mean_absolute_error: 0.8995 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.8108 - mean_absolute_error: 0.8108 - val_loss: 0.8267 - val_mean_absolute_error: 0.8267 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.7370 - mean_absolute_error: 0.7370 - val_loss: 0.7627 - val_mean_absolute_error: 0.7627 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6744 - mean_absolute_error: 0.6744 - val_loss: 0.7021 - val_mean_absolute_error: 0.7021 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.6239 - mean_absolute_error: 0.6239 - val_loss: 0.6485 - val_mean_absolute_error: 0.6485 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5890 - mean_absolute_error: 0.5890 - val_loss: 0.6187 - val_mean_absolute_error: 0.6187 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5618 - mean_absolute_error: 0.5618 - val_loss: 0.5920 - val_mean_absolute_error: 0.5920 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5510 - mean_absolute_error: 0.5510 - val_loss: 0.5834 - val_mean_absolute_error: 0.5834 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5378 - mean_absolute_error: 0.5378 - val_loss: 0.5687 - val_mean_absolute_error: 0.5687 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5289 - mean_absolute_error: 0.5289 - val_loss: 0.5623 - val_mean_absolute_error: 0.5623 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5256 - mean_absolute_error: 0.5256 - val_loss: 0.5501 - val_mean_absolute_error: 0.5501 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5238 - mean_absolute_error: 0.5238 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5220 - mean_absolute_error: 0.5220 - val_loss: 0.5486 - val_mean_absolute_error: 0.5486 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5136 - mean_absolute_error: 0.5136 - val_loss: 0.5374 - val_mean_absolute_error: 0.5374 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5090 - mean_absolute_error: 0.5090 - val_loss: 0.5435 - val_mean_absolute_error: 0.5435 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5074 - mean_absolute_error: 0.5074 - val_loss: 0.5356 - val_mean_absolute_error: 0.5356 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5055 - mean_absolute_error: 0.5055 - val_loss: 0.5388 - val_mean_absolute_error: 0.5388 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5051 - mean_absolute_error: 0.5051 - val_loss: 0.5364 - val_mean_absolute_error: 0.5364 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5033 - mean_absolute_error: 0.5033 - val_loss: 0.5305 - val_mean_absolute_error: 0.5305 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5010 - mean_absolute_error: 0.5010 - val_loss: 0.5247 - val_mean_absolute_error: 0.5247 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4981 - mean_absolute_error: 0.4981 - val_loss: 0.5278 - val_mean_absolute_error: 0.5278 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4986 - mean_absolute_error: 0.4986 - val_loss: 0.5239 - val_mean_absolute_error: 0.5239 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4978 - mean_absolute_error: 0.4978 - val_loss: 0.5226 - val_mean_absolute_error: 0.5226 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4955 - mean_absolute_error: 0.4955 - val_loss: 0.5225 - val_mean_absolute_error: 0.5225 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4950 - mean_absolute_error: 0.4950 - val_loss: 0.5196 - val_mean_absolute_error: 0.5196 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4954 - mean_absolute_error: 0.4954 - val_loss: 0.5192 - val_mean_absolute_error: 0.5192 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4935 - mean_absolute_error: 0.4935 - val_loss: 0.5212 - val_mean_absolute_error: 0.5212 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4943 - mean_absolute_error: 0.4943 - val_loss: 0.5189 - val_mean_absolute_error: 0.5189 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4923 - mean_absolute_error: 0.4923 - val_loss: 0.5158 - val_mean_absolute_error: 0.5158 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4922 - mean_absolute_error: 0.4922 - val_loss: 0.5169 - val_mean_absolute_error: 0.5169 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4913 - mean_absolute_error: 0.4913 - val_loss: 0.5177 - val_mean_absolute_error: 0.5177 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4909 - mean_absolute_error: 0.4909 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4914 - mean_absolute_error: 0.4914 - val_loss: 0.5145 - val_mean_absolute_error: 0.5145 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mean_absolute_error: 0.4907 - val_loss: 0.5149 - val_mean_absolute_error: 0.5149 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4910 - mean_absolute_error: 0.4910 - val_loss: 0.5141 - val_mean_absolute_error: 0.5141 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4887 - mean_absolute_error: 0.4887 - val_loss: 0.5135 - val_mean_absolute_error: 0.5135 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4885 - mean_absolute_error: 0.4885 - val_loss: 0.5147 - val_mean_absolute_error: 0.5147 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5117 - val_mean_absolute_error: 0.5117 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4883 - mean_absolute_error: 0.4883 - val_loss: 0.5128 - val_mean_absolute_error: 0.5128 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4886 - mean_absolute_error: 0.4886 - val_loss: 0.5143 - val_mean_absolute_error: 0.5143 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4881 - mean_absolute_error: 0.4881 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4878 - mean_absolute_error: 0.4878 - val_loss: 0.5114 - val_mean_absolute_error: 0.5114 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4866 - mean_absolute_error: 0.4866 - val_loss: 0.5107 - val_mean_absolute_error: 0.5107 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4865 - mean_absolute_error: 0.4865 - val_loss: 0.5115 - val_mean_absolute_error: 0.5115 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4861 - mean_absolute_error: 0.4861 - val_loss: 0.5086 - val_mean_absolute_error: 0.5086 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4864 - mean_absolute_error: 0.4864 - val_loss: 0.5094 - val_mean_absolute_error: 0.5094 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4863 - mean_absolute_error: 0.4863 - val_loss: 0.5104 - val_mean_absolute_error: 0.5104 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4859 - mean_absolute_error: 0.4859 - val_loss: 0.5088 - val_mean_absolute_error: 0.5088 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mean_absolute_error: 0.4847 - val_loss: 0.5111 - val_mean_absolute_error: 0.5111 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4854 - mean_absolute_error: 0.4854 - val_loss: 0.5123 - val_mean_absolute_error: 0.5123 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4842 - mean_absolute_error: 0.4842 - val_loss: 0.5079 - val_mean_absolute_error: 0.5079 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4845 - mean_absolute_error: 0.4845 - val_loss: 0.5087 - val_mean_absolute_error: 0.5087 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4838 - mean_absolute_error: 0.4838 - val_loss: 0.5089 - val_mean_absolute_error: 0.5089 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4832 - mean_absolute_error: 0.4832 - val_loss: 0.5078 - val_mean_absolute_error: 0.5078 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4834 - mean_absolute_error: 0.4834 - val_loss: 0.5084 - val_mean_absolute_error: 0.5084 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4836 - mean_absolute_error: 0.4836 - val_loss: 0.5081 - val_mean_absolute_error: 0.5081 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4824 - mean_absolute_error: 0.4824 - val_loss: 0.5077 - val_mean_absolute_error: 0.5077 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5097 - val_mean_absolute_error: 0.5097 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4827 - mean_absolute_error: 0.4827 - val_loss: 0.5074 - val_mean_absolute_error: 0.5074 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4822 - mean_absolute_error: 0.4822 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4818 - mean_absolute_error: 0.4818 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5065 - val_mean_absolute_error: 0.5065 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4820 - mean_absolute_error: 0.4820 - val_loss: 0.5080 - val_mean_absolute_error: 0.5080 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4812 - mean_absolute_error: 0.4812 - val_loss: 0.5057 - val_mean_absolute_error: 0.5057 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4811 - mean_absolute_error: 0.4811 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4815 - mean_absolute_error: 0.4815 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4808 - mean_absolute_error: 0.4808 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5052 - val_mean_absolute_error: 0.5052 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4803 - mean_absolute_error: 0.4803 - val_loss: 0.5071 - val_mean_absolute_error: 0.5071 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4810 - mean_absolute_error: 0.4810 - val_loss: 0.5056 - val_mean_absolute_error: 0.5056 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4805 - mean_absolute_error: 0.4805 - val_loss: 0.5066 - val_mean_absolute_error: 0.5066 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4814 - mean_absolute_error: 0.4814 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mean_absolute_error: 0.4799 - val_loss: 0.5048 - val_mean_absolute_error: 0.5048 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4796 - mean_absolute_error: 0.4796 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5058 - val_mean_absolute_error: 0.5058 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4806 - mean_absolute_error: 0.4806 - val_loss: 0.5043 - val_mean_absolute_error: 0.5043 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4790 - mean_absolute_error: 0.4790 - val_loss: 0.5037 - val_mean_absolute_error: 0.5037 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4791 - mean_absolute_error: 0.4791 - val_loss: 0.5042 - val_mean_absolute_error: 0.5042 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4792 - mean_absolute_error: 0.4792 - val_loss: 0.5036 - val_mean_absolute_error: 0.5036 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4788 - mean_absolute_error: 0.4788 - val_loss: 0.5044 - val_mean_absolute_error: 0.5044 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mean_absolute_error: 0.4784 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4789 - mean_absolute_error: 0.4789 - val_loss: 0.5041 - val_mean_absolute_error: 0.5041 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4781 - mean_absolute_error: 0.4781 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4780 - mean_absolute_error: 0.4780 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4786 - mean_absolute_error: 0.4786 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5025 - val_mean_absolute_error: 0.5025 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4782 - mean_absolute_error: 0.4782 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4776 - mean_absolute_error: 0.4776 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4778 - mean_absolute_error: 0.4778 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5035 - val_mean_absolute_error: 0.5035 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mean_absolute_error: 0.4773 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4772 - mean_absolute_error: 0.4772 - val_loss: 0.5030 - val_mean_absolute_error: 0.5030 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5038 - val_mean_absolute_error: 0.5038 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4771 - mean_absolute_error: 0.4771 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4767 - mean_absolute_error: 0.4767 - val_loss: 0.5033 - val_mean_absolute_error: 0.5033 Epoch 105/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4769 - mean_absolute_error: 0.4769 - val_loss: 0.5029 - val_mean_absolute_error: 0.5029 Epoch 106/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4770 - mean_absolute_error: 0.4770 - val_loss: 0.5021 - val_mean_absolute_error: 0.5021 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5027 - val_mean_absolute_error: 0.5027 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4766 - mean_absolute_error: 0.4766 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4768 - mean_absolute_error: 0.4768 - val_loss: 0.5019 - val_mean_absolute_error: 0.5019 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5034 - val_mean_absolute_error: 0.5034 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4765 - mean_absolute_error: 0.4765 - val_loss: 0.5023 - val_mean_absolute_error: 0.5023 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mean_absolute_error: 0.4763 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5032 - val_mean_absolute_error: 0.5032 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4764 - mean_absolute_error: 0.4764 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4759 - mean_absolute_error: 0.4759 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5026 - val_mean_absolute_error: 0.5026 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4761 - mean_absolute_error: 0.4761 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4757 - mean_absolute_error: 0.4757 - val_loss: 0.5028 - val_mean_absolute_error: 0.5028 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4754 - mean_absolute_error: 0.4754 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4755 - mean_absolute_error: 0.4755 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4756 - mean_absolute_error: 0.4756 - val_loss: 0.5022 - val_mean_absolute_error: 0.5022 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4752 - mean_absolute_error: 0.4752 - val_loss: 0.5020 - val_mean_absolute_error: 0.5020 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4751 - mean_absolute_error: 0.4751 - val_loss: 0.5014 - val_mean_absolute_error: 0.5014 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4750 - mean_absolute_error: 0.4750 - val_loss: 0.5018 - val_mean_absolute_error: 0.5018 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mean_absolute_error: 0.4747 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5015 - val_mean_absolute_error: 0.5015 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4749 - mean_absolute_error: 0.4749 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5017 - val_mean_absolute_error: 0.5017 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4748 - mean_absolute_error: 0.4748 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mean_absolute_error: 0.4745 - val_loss: 0.5012 - val_mean_absolute_error: 0.5012 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4744 - mean_absolute_error: 0.4744 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5013 - val_mean_absolute_error: 0.5013 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mean_absolute_error: 0.4746 - val_loss: 0.5016 - val_mean_absolute_error: 0.5016 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mean_absolute_error: 0.4743 - val_loss: 0.5011 - val_mean_absolute_error: 0.5011 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4740 - mean_absolute_error: 0.4740 - val_loss: 0.5010 - val_mean_absolute_error: 0.5010 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4741 - mean_absolute_error: 0.4741 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5006 - val_mean_absolute_error: 0.5006 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.5003 - val_mean_absolute_error: 0.5003 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4738 - mean_absolute_error: 0.4738 - val_loss: 0.5004 - val_mean_absolute_error: 0.5004 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4739 - mean_absolute_error: 0.4739 - val_loss: 0.4999 - val_mean_absolute_error: 0.4999 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5005 - val_mean_absolute_error: 0.5005 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4737 - mean_absolute_error: 0.4737 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mean_absolute_error: 0.4733 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.5001 - val_mean_absolute_error: 0.5001 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4736 - mean_absolute_error: 0.4736 - val_loss: 0.4996 - val_mean_absolute_error: 0.4996 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4734 - mean_absolute_error: 0.4734 - val_loss: 0.5000 - val_mean_absolute_error: 0.5000 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4731 - mean_absolute_error: 0.4731 - val_loss: 0.4993 - val_mean_absolute_error: 0.4993 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4735 - mean_absolute_error: 0.4735 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4995 - val_mean_absolute_error: 0.4995 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4732 - mean_absolute_error: 0.4732 - val_loss: 0.4994 - val_mean_absolute_error: 0.4994 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.5002 - val_mean_absolute_error: 0.5002 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4989 - val_mean_absolute_error: 0.4989 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4728 - mean_absolute_error: 0.4728 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4997 - val_mean_absolute_error: 0.4997 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4729 - mean_absolute_error: 0.4729 - val_loss: 0.4992 - val_mean_absolute_error: 0.4992 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4991 - val_mean_absolute_error: 0.4991 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4730 - mean_absolute_error: 0.4730 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4726 - mean_absolute_error: 0.4726 - val_loss: 0.4988 - val_mean_absolute_error: 0.4988 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4727 - mean_absolute_error: 0.4727 - val_loss: 0.4990 - val_mean_absolute_error: 0.4990 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4984 - val_mean_absolute_error: 0.4984 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4725 - mean_absolute_error: 0.4725 - val_loss: 0.4987 - val_mean_absolute_error: 0.4987 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4981 - val_mean_absolute_error: 0.4981 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4724 - mean_absolute_error: 0.4724 - val_loss: 0.4985 - val_mean_absolute_error: 0.4985 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4986 - val_mean_absolute_error: 0.4986 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4980 - val_mean_absolute_error: 0.4980 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.4983 - val_mean_absolute_error: 0.4983 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4720 - mean_absolute_error: 0.4720 - val_loss: 0.4982 - val_mean_absolute_error: 0.4982 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4723 - mean_absolute_error: 0.4723 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4721 - mean_absolute_error: 0.4721 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4722 - mean_absolute_error: 0.4722 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4978 - val_mean_absolute_error: 0.4978 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.4977 - val_mean_absolute_error: 0.4977 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.4979 - val_mean_absolute_error: 0.4979 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4719 - mean_absolute_error: 0.4719 - val_loss: 0.4975 - val_mean_absolute_error: 0.4975 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.4976 - val_mean_absolute_error: 0.4976 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4716 - mean_absolute_error: 0.4716 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4718 - mean_absolute_error: 0.4718 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 217/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4717 - mean_absolute_error: 0.4717 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4972 - val_mean_absolute_error: 0.4972 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.4970 - val_mean_absolute_error: 0.4970 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4715 - mean_absolute_error: 0.4715 - val_loss: 0.4973 - val_mean_absolute_error: 0.4973 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4974 - val_mean_absolute_error: 0.4974 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4714 - mean_absolute_error: 0.4714 - val_loss: 0.4971 - val_mean_absolute_error: 0.4971 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4969 - val_mean_absolute_error: 0.4969 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4713 - mean_absolute_error: 0.4713 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4710 - mean_absolute_error: 0.4710 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4712 - mean_absolute_error: 0.4712 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4966 - val_mean_absolute_error: 0.4966 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4967 - val_mean_absolute_error: 0.4967 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4708 - mean_absolute_error: 0.4708 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4711 - mean_absolute_error: 0.4711 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4709 - mean_absolute_error: 0.4709 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4707 - mean_absolute_error: 0.4707 - val_loss: 0.4968 - val_mean_absolute_error: 0.4968 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4705 - mean_absolute_error: 0.4705 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4706 - mean_absolute_error: 0.4706 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4704 - mean_absolute_error: 0.4704 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4703 - mean_absolute_error: 0.4703 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4702 - mean_absolute_error: 0.4702 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4964 - val_mean_absolute_error: 0.4964 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mean_absolute_error: 0.4701 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4963 - val_mean_absolute_error: 0.4963 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.4961 - val_mean_absolute_error: 0.4961 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4699 - mean_absolute_error: 0.4699 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4697 - mean_absolute_error: 0.4697 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4958 - val_mean_absolute_error: 0.4958 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4700 - mean_absolute_error: 0.4700 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4960 - val_mean_absolute_error: 0.4960 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4698 - mean_absolute_error: 0.4698 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4957 - val_mean_absolute_error: 0.4957 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4696 - mean_absolute_error: 0.4696 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4695 - mean_absolute_error: 0.4695 - val_loss: 0.4962 - val_mean_absolute_error: 0.4962 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4694 - mean_absolute_error: 0.4694 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4693 - mean_absolute_error: 0.4693 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4959 - val_mean_absolute_error: 0.4959 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4956 - val_mean_absolute_error: 0.4956 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4691 - mean_absolute_error: 0.4691 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4692 - mean_absolute_error: 0.4692 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4689 - mean_absolute_error: 0.4689 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mean_absolute_error: 0.4690 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4955 - val_mean_absolute_error: 0.4955 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4688 - mean_absolute_error: 0.4688 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.4953 - val_mean_absolute_error: 0.4953 Epoch 350/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 351/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 352/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4687 - mean_absolute_error: 0.4687 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 353/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 354/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 355/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 356/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 357/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4686 - mean_absolute_error: 0.4686 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 358/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 359/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 360/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 361/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 362/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 363/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 364/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 365/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 366/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 367/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 368/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 369/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4685 - mean_absolute_error: 0.4685 - val_loss: 0.4954 - val_mean_absolute_error: 0.4954 Epoch 370/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 371/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 372/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4684 - mean_absolute_error: 0.4684 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 373/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4683 - mean_absolute_error: 0.4683 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 374/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 375/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 376/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 377/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 378/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 379/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 380/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 381/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 382/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 383/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 384/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 385/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 386/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 387/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 388/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 389/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 390/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 391/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4682 - mean_absolute_error: 0.4682 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 392/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 393/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 394/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 395/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 396/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 397/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 398/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 399/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 400/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 401/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 402/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 403/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4681 - mean_absolute_error: 0.4681 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 404/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4951 - val_mean_absolute_error: 0.4951 Epoch 405/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 406/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mean_absolute_error: 0.4680 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 407/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 408/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 409/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 410/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 411/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4950 - val_mean_absolute_error: 0.4950 Epoch 412/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 413/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 414/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4679 - mean_absolute_error: 0.4679 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 415/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 416/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 417/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 418/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4678 - mean_absolute_error: 0.4678 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 419/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 420/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 421/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 422/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 423/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 424/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 425/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 426/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 427/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 428/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 429/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 430/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 431/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 432/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 433/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4677 - mean_absolute_error: 0.4677 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 434/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 435/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 436/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 437/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 438/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 439/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 440/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 441/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 442/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4676 - mean_absolute_error: 0.4676 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 443/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 444/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 445/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 446/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 447/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 448/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 449/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 450/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 451/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 452/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 453/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4948 - val_mean_absolute_error: 0.4948 Epoch 454/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 455/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 456/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 457/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 458/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 459/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 460/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4675 - mean_absolute_error: 0.4675 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 461/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 462/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 463/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 464/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 465/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 466/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 467/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 468/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 469/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 470/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 471/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4673 - mean_absolute_error: 0.4673 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 472/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 473/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4946 - val_mean_absolute_error: 0.4946 Epoch 474/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 475/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 476/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 477/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4941 - val_mean_absolute_error: 0.4941 Epoch 478/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 479/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 480/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 481/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 482/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 483/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 484/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 485/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 486/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4672 - mean_absolute_error: 0.4672 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 487/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 488/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4945 - val_mean_absolute_error: 0.4945 Epoch 489/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 490/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4674 - mean_absolute_error: 0.4674 - val_loss: 0.4947 - val_mean_absolute_error: 0.4947 Epoch 491/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 492/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4671 - mean_absolute_error: 0.4671 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 493/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 494/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4940 - val_mean_absolute_error: 0.4940 Epoch 495/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4944 - val_mean_absolute_error: 0.4944 Epoch 496/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 497/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 498/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4943 - val_mean_absolute_error: 0.4943 Epoch 499/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4669 - mean_absolute_error: 0.4669 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 500/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4670 - mean_absolute_error: 0.4670 - val_loss: 0.4942 - val_mean_absolute_error: 0.4942 Epoch 1/500 35/35 [==============================] - 1s 8ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 2/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 3/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 15/500 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 22/500 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 26/500 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 27/500 35/35 [==============================] - 0s 3ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 5.6336 - mean_absolute_error: 5.6336 - val_loss: 5.6417 - val_mean_absolute_error: 5.6417 Epoch 00036: early stopping
notify()
data8.to_excel('adam_model_epochs_Earlystopping.xlsx',index=False)
ES = EarlyStopping(monitor='mae',mode='min',verbose=1,patience=35)
model2 = Sequential()
model2.add(Dense(20,input_shape=(5,),activation='relu'))
model2.add(Dense(10,activation='relu'))
model2.add(Dense(5,activation='relu'))
model2.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=0.05, decay=1e-4)
model2.compile(optimizer=adam,metrics='mae',loss='mae')
model2.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
Epoch 1/500 35/35 [==============================] - 1s 10ms/step - loss: 1.5141 - mae: 1.5141 - val_loss: 0.8226 - val_mae: 0.8226 Epoch 2/500 35/35 [==============================] - 0s 3ms/step - loss: 0.6678 - mae: 0.6678 - val_loss: 0.5585 - val_mae: 0.5585 Epoch 3/500 35/35 [==============================] - 0s 3ms/step - loss: 0.5566 - mae: 0.5566 - val_loss: 0.5634 - val_mae: 0.5634 Epoch 4/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5270 - mae: 0.5270 - val_loss: 0.5418 - val_mae: 0.5418 Epoch 5/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5082 - mae: 0.5082 - val_loss: 0.5230 - val_mae: 0.5230 Epoch 6/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5169 - mae: 0.5169 - val_loss: 0.5677 - val_mae: 0.5677 Epoch 7/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5352 - mae: 0.5352 - val_loss: 0.5095 - val_mae: 0.5095 Epoch 8/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5047 - mae: 0.5047 - val_loss: 0.5691 - val_mae: 0.5691 Epoch 9/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5133 - mae: 0.5133 - val_loss: 0.5050 - val_mae: 0.5050 Epoch 10/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5059 - mae: 0.5059 - val_loss: 0.5180 - val_mae: 0.5180 Epoch 11/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4984 - mae: 0.4984 - val_loss: 0.5434 - val_mae: 0.5434 Epoch 12/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5070 - mae: 0.5070 - val_loss: 0.5041 - val_mae: 0.5041 Epoch 13/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5056 - mae: 0.5056 - val_loss: 0.5219 - val_mae: 0.5219 Epoch 14/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5121 - mae: 0.5121 - val_loss: 0.5283 - val_mae: 0.5283 Epoch 15/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5114 - mae: 0.5114 - val_loss: 0.5122 - val_mae: 0.5122 Epoch 16/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4799 - mae: 0.4799 - val_loss: 0.4860 - val_mae: 0.4860 Epoch 17/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4934 - mae: 0.4934 - val_loss: 0.4960 - val_mae: 0.4960 Epoch 18/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4828 - mae: 0.4828 - val_loss: 0.4947 - val_mae: 0.4947 Epoch 19/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4907 - mae: 0.4907 - val_loss: 0.5245 - val_mae: 0.5245 Epoch 20/500 35/35 [==============================] - 0s 2ms/step - loss: 0.5161 - mae: 0.5161 - val_loss: 0.5933 - val_mae: 0.5933 Epoch 21/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4917 - mae: 0.4917 - val_loss: 0.5313 - val_mae: 0.5313 Epoch 22/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4893 - mae: 0.4893 - val_loss: 0.5151 - val_mae: 0.5151 Epoch 23/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4843 - mae: 0.4843 - val_loss: 0.5114 - val_mae: 0.5114 Epoch 24/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4919 - mae: 0.4919 - val_loss: 0.5298 - val_mae: 0.5298 Epoch 25/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4747 - mae: 0.4747 - val_loss: 0.5022 - val_mae: 0.5022 Epoch 26/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4745 - mae: 0.4745 - val_loss: 0.5137 - val_mae: 0.5137 Epoch 27/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4746 - mae: 0.4746 - val_loss: 0.5237 - val_mae: 0.5237 Epoch 28/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4760 - mae: 0.4760 - val_loss: 0.5072 - val_mae: 0.5072 Epoch 29/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4701 - mae: 0.4701 - val_loss: 0.5769 - val_mae: 0.5769 Epoch 30/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4902 - mae: 0.4902 - val_loss: 0.5130 - val_mae: 0.5130 Epoch 31/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mae: 0.4690 - val_loss: 0.5628 - val_mae: 0.5628 Epoch 32/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4680 - mae: 0.4680 - val_loss: 0.5386 - val_mae: 0.5386 Epoch 33/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4868 - mae: 0.4868 - val_loss: 0.5699 - val_mae: 0.5699 Epoch 34/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4854 - mae: 0.4854 - val_loss: 0.5152 - val_mae: 0.5152 Epoch 35/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4690 - mae: 0.4690 - val_loss: 0.5227 - val_mae: 0.5227 Epoch 36/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4833 - mae: 0.4833 - val_loss: 0.5771 - val_mae: 0.5771 Epoch 37/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4847 - mae: 0.4847 - val_loss: 0.5586 - val_mae: 0.5586 Epoch 38/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4559 - mae: 0.4559 - val_loss: 0.5110 - val_mae: 0.5110 Epoch 39/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4563 - mae: 0.4563 - val_loss: 0.5324 - val_mae: 0.5324 Epoch 40/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4610 - mae: 0.4610 - val_loss: 0.5082 - val_mae: 0.5082 Epoch 41/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4589 - mae: 0.4589 - val_loss: 0.5018 - val_mae: 0.5018 Epoch 42/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4613 - mae: 0.4613 - val_loss: 0.5055 - val_mae: 0.5055 Epoch 43/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4743 - mae: 0.4743 - val_loss: 0.5127 - val_mae: 0.5127 Epoch 44/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4570 - mae: 0.4570 - val_loss: 0.5215 - val_mae: 0.5215 Epoch 45/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4639 - mae: 0.4639 - val_loss: 0.5261 - val_mae: 0.5261 Epoch 46/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4606 - mae: 0.4606 - val_loss: 0.5062 - val_mae: 0.5062 Epoch 47/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4622 - mae: 0.4622 - val_loss: 0.5192 - val_mae: 0.5192 Epoch 48/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4560 - mae: 0.4560 - val_loss: 0.5147 - val_mae: 0.5147 Epoch 49/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4462 - mae: 0.4462 - val_loss: 0.5560 - val_mae: 0.5560 Epoch 50/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4733 - mae: 0.4733 - val_loss: 0.5019 - val_mae: 0.5019 Epoch 51/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4506 - mae: 0.4506 - val_loss: 0.5085 - val_mae: 0.5085 Epoch 52/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4654 - mae: 0.4654 - val_loss: 0.5194 - val_mae: 0.5194 Epoch 53/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4784 - mae: 0.4784 - val_loss: 0.5024 - val_mae: 0.5024 Epoch 54/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4614 - mae: 0.4614 - val_loss: 0.5625 - val_mae: 0.5625 Epoch 55/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4773 - mae: 0.4773 - val_loss: 0.5494 - val_mae: 0.5494 Epoch 56/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4593 - mae: 0.4593 - val_loss: 0.5066 - val_mae: 0.5066 Epoch 57/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mae: 0.4658 - val_loss: 0.5008 - val_mae: 0.5008 Epoch 58/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4457 - mae: 0.4457 - val_loss: 0.5127 - val_mae: 0.5127 Epoch 59/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4553 - mae: 0.4553 - val_loss: 0.4881 - val_mae: 0.4881 Epoch 60/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4525 - mae: 0.4525 - val_loss: 0.5433 - val_mae: 0.5433 Epoch 61/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4629 - mae: 0.4629 - val_loss: 0.5212 - val_mae: 0.5212 Epoch 62/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4508 - mae: 0.4508 - val_loss: 0.5247 - val_mae: 0.5247 Epoch 63/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4499 - mae: 0.4499 - val_loss: 0.5371 - val_mae: 0.5371 Epoch 64/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4380 - mae: 0.4380 - val_loss: 0.5140 - val_mae: 0.5140 Epoch 65/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4474 - mae: 0.4474 - val_loss: 0.5059 - val_mae: 0.5059 Epoch 66/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4548 - mae: 0.4548 - val_loss: 0.5107 - val_mae: 0.5107 Epoch 67/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4658 - mae: 0.4658 - val_loss: 0.5023 - val_mae: 0.5023 Epoch 68/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4511 - mae: 0.4511 - val_loss: 0.5299 - val_mae: 0.5299 Epoch 69/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4453 - mae: 0.4453 - val_loss: 0.4932 - val_mae: 0.4932 Epoch 70/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mae: 0.4464 - val_loss: 0.4964 - val_mae: 0.4964 Epoch 71/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4590 - mae: 0.4590 - val_loss: 0.4895 - val_mae: 0.4895 Epoch 72/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4410 - mae: 0.4410 - val_loss: 0.5016 - val_mae: 0.5016 Epoch 73/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4386 - mae: 0.4386 - val_loss: 0.5226 - val_mae: 0.5226 Epoch 74/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4763 - mae: 0.4763 - val_loss: 0.5058 - val_mae: 0.5058 Epoch 75/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4409 - mae: 0.4409 - val_loss: 0.5115 - val_mae: 0.5115 Epoch 76/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4526 - mae: 0.4526 - val_loss: 0.5061 - val_mae: 0.5061 Epoch 77/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4512 - mae: 0.4512 - val_loss: 0.5127 - val_mae: 0.5127 Epoch 78/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4532 - mae: 0.4532 - val_loss: 0.5227 - val_mae: 0.5227 Epoch 79/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4355 - mae: 0.4355 - val_loss: 0.5070 - val_mae: 0.5070 Epoch 80/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4463 - mae: 0.4463 - val_loss: 0.5409 - val_mae: 0.5409 Epoch 81/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4468 - mae: 0.4468 - val_loss: 0.5202 - val_mae: 0.5202 Epoch 82/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4567 - mae: 0.4567 - val_loss: 0.5286 - val_mae: 0.5286 Epoch 83/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4527 - mae: 0.4527 - val_loss: 0.4964 - val_mae: 0.4964 Epoch 84/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4357 - mae: 0.4357 - val_loss: 0.5353 - val_mae: 0.5353 Epoch 85/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4533 - mae: 0.4533 - val_loss: 0.4889 - val_mae: 0.4889 Epoch 86/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mae: 0.4279 - val_loss: 0.5048 - val_mae: 0.5048 Epoch 87/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4279 - mae: 0.4279 - val_loss: 0.5114 - val_mae: 0.5114 Epoch 88/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4315 - mae: 0.4315 - val_loss: 0.5047 - val_mae: 0.5047 Epoch 89/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4269 - mae: 0.4269 - val_loss: 0.4849 - val_mae: 0.4849 Epoch 90/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4592 - mae: 0.4592 - val_loss: 0.4930 - val_mae: 0.4930 Epoch 91/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4387 - mae: 0.4387 - val_loss: 0.5304 - val_mae: 0.5304 Epoch 92/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4383 - mae: 0.4383 - val_loss: 0.5086 - val_mae: 0.5086 Epoch 93/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4461 - mae: 0.4461 - val_loss: 0.5072 - val_mae: 0.5072 Epoch 94/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4312 - mae: 0.4312 - val_loss: 0.5265 - val_mae: 0.5265 Epoch 95/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4437 - mae: 0.4437 - val_loss: 0.4930 - val_mae: 0.4930 Epoch 96/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4464 - mae: 0.4464 - val_loss: 0.5042 - val_mae: 0.5042 Epoch 97/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4331 - mae: 0.4331 - val_loss: 0.5310 - val_mae: 0.5310 Epoch 98/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4351 - mae: 0.4351 - val_loss: 0.5081 - val_mae: 0.5081 Epoch 99/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4241 - mae: 0.4241 - val_loss: 0.5039 - val_mae: 0.5039 Epoch 100/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4455 - mae: 0.4455 - val_loss: 0.5357 - val_mae: 0.5357 Epoch 101/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4561 - mae: 0.4561 - val_loss: 0.5258 - val_mae: 0.5258 Epoch 102/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4595 - mae: 0.4595 - val_loss: 0.5361 - val_mae: 0.5361 Epoch 103/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4344 - mae: 0.4344 - val_loss: 0.4851 - val_mae: 0.4851 Epoch 104/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4344 - mae: 0.4344 - val_loss: 0.4998 - val_mae: 0.4998 Epoch 105/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4416 - mae: 0.4416 - val_loss: 0.4908 - val_mae: 0.4908 Epoch 106/500 35/35 [==============================] - 0s 3ms/step - loss: 0.4279 - mae: 0.4279 - val_loss: 0.5164 - val_mae: 0.5164 Epoch 107/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4318 - mae: 0.4318 - val_loss: 0.4924 - val_mae: 0.4924 Epoch 108/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4281 - mae: 0.4281 - val_loss: 0.5269 - val_mae: 0.5269 Epoch 109/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4458 - mae: 0.4458 - val_loss: 0.5105 - val_mae: 0.5105 Epoch 110/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mae: 0.4259 - val_loss: 0.5087 - val_mae: 0.5087 Epoch 111/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4328 - mae: 0.4328 - val_loss: 0.4978 - val_mae: 0.4978 Epoch 112/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4220 - mae: 0.4220 - val_loss: 0.5188 - val_mae: 0.5188 Epoch 113/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4233 - mae: 0.4233 - val_loss: 0.5343 - val_mae: 0.5343 Epoch 114/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mae: 0.4259 - val_loss: 0.4904 - val_mae: 0.4904 Epoch 115/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4175 - mae: 0.4175 - val_loss: 0.5052 - val_mae: 0.5052 Epoch 116/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4121 - mae: 0.4121 - val_loss: 0.5062 - val_mae: 0.5062 Epoch 117/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4158 - mae: 0.4158 - val_loss: 0.4898 - val_mae: 0.4898 Epoch 118/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4229 - mae: 0.4229 - val_loss: 0.5529 - val_mae: 0.5529 Epoch 119/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4403 - mae: 0.4403 - val_loss: 0.4927 - val_mae: 0.4927 Epoch 120/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4160 - mae: 0.4160 - val_loss: 0.5022 - val_mae: 0.5022 Epoch 121/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4190 - mae: 0.4190 - val_loss: 0.5097 - val_mae: 0.5097 Epoch 122/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4259 - mae: 0.4259 - val_loss: 0.4866 - val_mae: 0.4866 Epoch 123/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4298 - mae: 0.4298 - val_loss: 0.5028 - val_mae: 0.5028 Epoch 124/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4390 - mae: 0.4390 - val_loss: 0.4919 - val_mae: 0.4919 Epoch 125/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4246 - mae: 0.4246 - val_loss: 0.5028 - val_mae: 0.5028 Epoch 126/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4276 - mae: 0.4276 - val_loss: 0.5187 - val_mae: 0.5187 Epoch 127/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4305 - mae: 0.4305 - val_loss: 0.5314 - val_mae: 0.5314 Epoch 128/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4273 - mae: 0.4273 - val_loss: 0.5477 - val_mae: 0.5477 Epoch 129/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4237 - mae: 0.4237 - val_loss: 0.4776 - val_mae: 0.4776 Epoch 130/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4179 - mae: 0.4179 - val_loss: 0.5139 - val_mae: 0.5139 Epoch 131/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4155 - mae: 0.4155 - val_loss: 0.4953 - val_mae: 0.4953 Epoch 132/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4125 - mae: 0.4125 - val_loss: 0.4824 - val_mae: 0.4824 Epoch 133/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4187 - mae: 0.4187 - val_loss: 0.5190 - val_mae: 0.5190 Epoch 134/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4231 - mae: 0.4231 - val_loss: 0.5246 - val_mae: 0.5246 Epoch 135/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4296 - mae: 0.4296 - val_loss: 0.4926 - val_mae: 0.4926 Epoch 136/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4126 - mae: 0.4126 - val_loss: 0.5109 - val_mae: 0.5109 Epoch 137/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4162 - mae: 0.4162 - val_loss: 0.4913 - val_mae: 0.4913 Epoch 138/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4147 - mae: 0.4147 - val_loss: 0.5200 - val_mae: 0.5200 Epoch 139/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4174 - mae: 0.4174 - val_loss: 0.4971 - val_mae: 0.4971 Epoch 140/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4043 - mae: 0.4043 - val_loss: 0.4996 - val_mae: 0.4996 Epoch 141/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4069 - mae: 0.4069 - val_loss: 0.5190 - val_mae: 0.5190 Epoch 142/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4149 - mae: 0.4149 - val_loss: 0.4829 - val_mae: 0.4829 Epoch 143/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4250 - mae: 0.4250 - val_loss: 0.5250 - val_mae: 0.5250 Epoch 144/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4261 - mae: 0.4261 - val_loss: 0.4959 - val_mae: 0.4959 Epoch 145/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4131 - mae: 0.4131 - val_loss: 0.5176 - val_mae: 0.5176 Epoch 146/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4074 - mae: 0.4074 - val_loss: 0.5109 - val_mae: 0.5109 Epoch 147/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4155 - mae: 0.4155 - val_loss: 0.5049 - val_mae: 0.5049 Epoch 148/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4182 - mae: 0.4182 - val_loss: 0.4858 - val_mae: 0.4858 Epoch 149/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4218 - mae: 0.4218 - val_loss: 0.5325 - val_mae: 0.5325 Epoch 150/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4261 - mae: 0.4261 - val_loss: 0.5291 - val_mae: 0.5291 Epoch 151/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4190 - mae: 0.4190 - val_loss: 0.5204 - val_mae: 0.5204 Epoch 152/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4108 - mae: 0.4108 - val_loss: 0.4873 - val_mae: 0.4873 Epoch 153/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4078 - mae: 0.4078 - val_loss: 0.4828 - val_mae: 0.4828 Epoch 154/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4082 - mae: 0.4082 - val_loss: 0.4917 - val_mae: 0.4917 Epoch 155/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4003 - mae: 0.4003 - val_loss: 0.5067 - val_mae: 0.5067 Epoch 156/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4129 - mae: 0.4129 - val_loss: 0.5128 - val_mae: 0.5128 Epoch 157/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4197 - mae: 0.4197 - val_loss: 0.4976 - val_mae: 0.4976 Epoch 158/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4180 - mae: 0.4180 - val_loss: 0.4787 - val_mae: 0.4787 Epoch 159/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4031 - mae: 0.4031 - val_loss: 0.4970 - val_mae: 0.4970 Epoch 160/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4140 - mae: 0.4140 - val_loss: 0.5264 - val_mae: 0.5264 Epoch 161/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4271 - mae: 0.4271 - val_loss: 0.5131 - val_mae: 0.5131 Epoch 162/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4141 - mae: 0.4141 - val_loss: 0.4891 - val_mae: 0.4891 Epoch 163/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4067 - mae: 0.4067 - val_loss: 0.5084 - val_mae: 0.5084 Epoch 164/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4124 - mae: 0.4124 - val_loss: 0.4848 - val_mae: 0.4848 Epoch 165/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4161 - mae: 0.4161 - val_loss: 0.5387 - val_mae: 0.5387 Epoch 166/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4128 - mae: 0.4128 - val_loss: 0.4993 - val_mae: 0.4993 Epoch 167/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4153 - mae: 0.4153 - val_loss: 0.5041 - val_mae: 0.5041 Epoch 168/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4159 - mae: 0.4159 - val_loss: 0.5001 - val_mae: 0.5001 Epoch 169/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4074 - mae: 0.4074 - val_loss: 0.5238 - val_mae: 0.5238 Epoch 170/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4001 - mae: 0.4001 - val_loss: 0.5211 - val_mae: 0.5211 Epoch 171/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4097 - mae: 0.4097 - val_loss: 0.5250 - val_mae: 0.5250 Epoch 172/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4150 - mae: 0.4150 - val_loss: 0.5109 - val_mae: 0.5109 Epoch 173/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4145 - mae: 0.4145 - val_loss: 0.5168 - val_mae: 0.5168 Epoch 174/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4133 - mae: 0.4133 - val_loss: 0.4914 - val_mae: 0.4914 Epoch 175/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4056 - mae: 0.4056 - val_loss: 0.4980 - val_mae: 0.4980 Epoch 176/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4147 - mae: 0.4147 - val_loss: 0.4884 - val_mae: 0.4884 Epoch 177/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4059 - mae: 0.4059 - val_loss: 0.5079 - val_mae: 0.5079 Epoch 178/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4012 - mae: 0.4012 - val_loss: 0.4946 - val_mae: 0.4946 Epoch 179/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4020 - mae: 0.4020 - val_loss: 0.5086 - val_mae: 0.5086 Epoch 180/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4046 - mae: 0.4046 - val_loss: 0.5135 - val_mae: 0.5135 Epoch 181/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4068 - mae: 0.4068 - val_loss: 0.4898 - val_mae: 0.4898 Epoch 182/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4070 - mae: 0.4070 - val_loss: 0.5055 - val_mae: 0.5055 Epoch 183/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4028 - mae: 0.4028 - val_loss: 0.4917 - val_mae: 0.4917 Epoch 184/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3984 - mae: 0.3984 - val_loss: 0.4876 - val_mae: 0.4876 Epoch 185/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4016 - mae: 0.4016 - val_loss: 0.5313 - val_mae: 0.5313 Epoch 186/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4029 - mae: 0.4029 - val_loss: 0.4968 - val_mae: 0.4968 Epoch 187/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4018 - mae: 0.4018 - val_loss: 0.4906 - val_mae: 0.4906 Epoch 188/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3994 - mae: 0.3994 - val_loss: 0.5023 - val_mae: 0.5023 Epoch 189/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4014 - mae: 0.4014 - val_loss: 0.4819 - val_mae: 0.4819 Epoch 190/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4080 - mae: 0.4080 - val_loss: 0.4896 - val_mae: 0.4896 Epoch 191/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3969 - mae: 0.3969 - val_loss: 0.5084 - val_mae: 0.5084 Epoch 192/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3981 - mae: 0.3981 - val_loss: 0.4864 - val_mae: 0.4864 Epoch 193/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3968 - mae: 0.3968 - val_loss: 0.4876 - val_mae: 0.4876 Epoch 194/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3993 - mae: 0.3993 - val_loss: 0.5050 - val_mae: 0.5050 Epoch 195/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4021 - mae: 0.4021 - val_loss: 0.5078 - val_mae: 0.5078 Epoch 196/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3959 - mae: 0.3959 - val_loss: 0.5175 - val_mae: 0.5175 Epoch 197/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4064 - mae: 0.4064 - val_loss: 0.5013 - val_mae: 0.5013 Epoch 198/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4061 - mae: 0.4061 - val_loss: 0.5005 - val_mae: 0.5005 Epoch 199/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3974 - mae: 0.3974 - val_loss: 0.5017 - val_mae: 0.5017 Epoch 200/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4026 - mae: 0.4026 - val_loss: 0.5285 - val_mae: 0.5285 Epoch 201/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4025 - mae: 0.4025 - val_loss: 0.4930 - val_mae: 0.4930 Epoch 202/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4002 - mae: 0.4002 - val_loss: 0.5000 - val_mae: 0.5000 Epoch 203/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3949 - mae: 0.3949 - val_loss: 0.4922 - val_mae: 0.4922 Epoch 204/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4081 - mae: 0.4081 - val_loss: 0.4743 - val_mae: 0.4743 Epoch 205/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3946 - mae: 0.3946 - val_loss: 0.5090 - val_mae: 0.5090 Epoch 206/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3980 - mae: 0.3980 - val_loss: 0.4829 - val_mae: 0.4829 Epoch 207/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3919 - mae: 0.3919 - val_loss: 0.5114 - val_mae: 0.5114 Epoch 208/500 35/35 [==============================] - 0s 2ms/step - loss: 0.4048 - mae: 0.4048 - val_loss: 0.4905 - val_mae: 0.4905 Epoch 209/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3932 - mae: 0.3932 - val_loss: 0.4898 - val_mae: 0.4898 Epoch 210/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3929 - mae: 0.3929 - val_loss: 0.4944 - val_mae: 0.4944 Epoch 211/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3892 - mae: 0.3892 - val_loss: 0.4800 - val_mae: 0.4800 Epoch 212/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3935 - mae: 0.3935 - val_loss: 0.4825 - val_mae: 0.4825 Epoch 213/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3867 - mae: 0.3867 - val_loss: 0.4842 - val_mae: 0.4842 Epoch 214/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3890 - mae: 0.3890 - val_loss: 0.4951 - val_mae: 0.4951 Epoch 215/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3971 - mae: 0.3971 - val_loss: 0.4791 - val_mae: 0.4791 Epoch 216/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3893 - mae: 0.3893 - val_loss: 0.4906 - val_mae: 0.4906 Epoch 217/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3932 - mae: 0.3932 - val_loss: 0.4910 - val_mae: 0.4910 Epoch 218/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3939 - mae: 0.3939 - val_loss: 0.4900 - val_mae: 0.4900 Epoch 219/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3894 - mae: 0.3894 - val_loss: 0.4900 - val_mae: 0.4900 Epoch 220/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3947 - mae: 0.3947 - val_loss: 0.4934 - val_mae: 0.4934 Epoch 221/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3990 - mae: 0.3990 - val_loss: 0.4921 - val_mae: 0.4921 Epoch 222/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3935 - mae: 0.3935 - val_loss: 0.4717 - val_mae: 0.4717 Epoch 223/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3880 - mae: 0.3880 - val_loss: 0.4946 - val_mae: 0.4946 Epoch 224/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3881 - mae: 0.3881 - val_loss: 0.5025 - val_mae: 0.5025 Epoch 225/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3897 - mae: 0.3897 - val_loss: 0.4775 - val_mae: 0.4775 Epoch 226/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3959 - mae: 0.3959 - val_loss: 0.4979 - val_mae: 0.4979 Epoch 227/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3934 - mae: 0.3934 - val_loss: 0.4783 - val_mae: 0.4783 Epoch 228/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3885 - mae: 0.3885 - val_loss: 0.4906 - val_mae: 0.4906 Epoch 229/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3938 - mae: 0.3938 - val_loss: 0.4766 - val_mae: 0.4766 Epoch 230/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3820 - mae: 0.3820 - val_loss: 0.4810 - val_mae: 0.4810 Epoch 231/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3929 - mae: 0.3929 - val_loss: 0.5014 - val_mae: 0.5014 Epoch 232/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3967 - mae: 0.3967 - val_loss: 0.5043 - val_mae: 0.5043 Epoch 233/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3876 - mae: 0.3876 - val_loss: 0.4719 - val_mae: 0.4719 Epoch 234/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3891 - mae: 0.3891 - val_loss: 0.4901 - val_mae: 0.4901 Epoch 235/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3861 - mae: 0.3861 - val_loss: 0.4842 - val_mae: 0.4842 Epoch 236/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3864 - mae: 0.3864 - val_loss: 0.4861 - val_mae: 0.4861 Epoch 237/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3917 - mae: 0.3917 - val_loss: 0.4812 - val_mae: 0.4812 Epoch 238/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3887 - mae: 0.3887 - val_loss: 0.4809 - val_mae: 0.4809 Epoch 239/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3900 - mae: 0.3900 - val_loss: 0.4784 - val_mae: 0.4784 Epoch 240/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3844 - mae: 0.3844 - val_loss: 0.4864 - val_mae: 0.4864 Epoch 241/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3805 - mae: 0.3805 - val_loss: 0.4740 - val_mae: 0.4740 Epoch 242/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3817 - mae: 0.3817 - val_loss: 0.4831 - val_mae: 0.4831 Epoch 243/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3824 - mae: 0.3824 - val_loss: 0.4939 - val_mae: 0.4939 Epoch 244/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3883 - mae: 0.3883 - val_loss: 0.4735 - val_mae: 0.4735 Epoch 245/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3833 - mae: 0.3833 - val_loss: 0.4947 - val_mae: 0.4947 Epoch 246/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3832 - mae: 0.3832 - val_loss: 0.4761 - val_mae: 0.4761 Epoch 247/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3874 - mae: 0.3874 - val_loss: 0.4785 - val_mae: 0.4785 Epoch 248/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3847 - mae: 0.3847 - val_loss: 0.4821 - val_mae: 0.4821 Epoch 249/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3946 - mae: 0.3946 - val_loss: 0.4755 - val_mae: 0.4755 Epoch 250/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3875 - mae: 0.3875 - val_loss: 0.4887 - val_mae: 0.4887 Epoch 251/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3829 - mae: 0.3829 - val_loss: 0.4840 - val_mae: 0.4840 Epoch 252/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3844 - mae: 0.3844 - val_loss: 0.4692 - val_mae: 0.4692 Epoch 253/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3890 - mae: 0.3890 - val_loss: 0.4824 - val_mae: 0.4824 Epoch 254/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3924 - mae: 0.3924 - val_loss: 0.4847 - val_mae: 0.4847 Epoch 255/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3814 - mae: 0.3814 - val_loss: 0.4756 - val_mae: 0.4756 Epoch 256/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3846 - mae: 0.3846 - val_loss: 0.4829 - val_mae: 0.4829 Epoch 257/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3940 - mae: 0.3940 - val_loss: 0.4920 - val_mae: 0.4920 Epoch 258/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3988 - mae: 0.3988 - val_loss: 0.4896 - val_mae: 0.4896 Epoch 259/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3948 - mae: 0.3948 - val_loss: 0.4852 - val_mae: 0.4852 Epoch 260/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3855 - mae: 0.3855 - val_loss: 0.4839 - val_mae: 0.4839 Epoch 261/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3852 - mae: 0.3852 - val_loss: 0.4820 - val_mae: 0.4820 Epoch 262/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3866 - mae: 0.3866 - val_loss: 0.4884 - val_mae: 0.4884 Epoch 263/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3858 - mae: 0.3858 - val_loss: 0.4884 - val_mae: 0.4884 Epoch 264/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3800 - mae: 0.3800 - val_loss: 0.4787 - val_mae: 0.4787 Epoch 265/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3824 - mae: 0.3824 - val_loss: 0.4881 - val_mae: 0.4881 Epoch 266/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3830 - mae: 0.3830 - val_loss: 0.5124 - val_mae: 0.5124 Epoch 267/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3911 - mae: 0.3911 - val_loss: 0.4886 - val_mae: 0.4886 Epoch 268/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3801 - mae: 0.3801 - val_loss: 0.4809 - val_mae: 0.4809 Epoch 269/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3813 - mae: 0.3813 - val_loss: 0.4883 - val_mae: 0.4883 Epoch 270/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3783 - mae: 0.3783 - val_loss: 0.4809 - val_mae: 0.4809 Epoch 271/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3843 - mae: 0.3843 - val_loss: 0.4894 - val_mae: 0.4894 Epoch 272/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3850 - mae: 0.3850 - val_loss: 0.4966 - val_mae: 0.4966 Epoch 273/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3822 - mae: 0.3822 - val_loss: 0.4899 - val_mae: 0.4899 Epoch 274/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3842 - mae: 0.3842 - val_loss: 0.4871 - val_mae: 0.4871 Epoch 275/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3895 - mae: 0.3895 - val_loss: 0.4822 - val_mae: 0.4822 Epoch 276/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3869 - mae: 0.3869 - val_loss: 0.4926 - val_mae: 0.4926 Epoch 277/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3846 - mae: 0.3846 - val_loss: 0.4873 - val_mae: 0.4873 Epoch 278/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3866 - mae: 0.3866 - val_loss: 0.5134 - val_mae: 0.5134 Epoch 279/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3871 - mae: 0.3871 - val_loss: 0.4757 - val_mae: 0.4757 Epoch 280/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3802 - mae: 0.3802 - val_loss: 0.4791 - val_mae: 0.4791 Epoch 281/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3801 - mae: 0.3801 - val_loss: 0.4863 - val_mae: 0.4863 Epoch 282/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3873 - mae: 0.3873 - val_loss: 0.4833 - val_mae: 0.4833 Epoch 283/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3783 - mae: 0.3783 - val_loss: 0.4958 - val_mae: 0.4958 Epoch 284/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3831 - mae: 0.3831 - val_loss: 0.4874 - val_mae: 0.4874 Epoch 285/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3781 - mae: 0.3781 - val_loss: 0.4860 - val_mae: 0.4860 Epoch 286/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3736 - mae: 0.3736 - val_loss: 0.4838 - val_mae: 0.4838 Epoch 287/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3823 - mae: 0.3823 - val_loss: 0.4940 - val_mae: 0.4940 Epoch 288/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3825 - mae: 0.3825 - val_loss: 0.4868 - val_mae: 0.4868 Epoch 289/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3772 - mae: 0.3772 - val_loss: 0.4816 - val_mae: 0.4816 Epoch 290/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3757 - mae: 0.3757 - val_loss: 0.4745 - val_mae: 0.4745 Epoch 291/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3817 - mae: 0.3817 - val_loss: 0.4914 - val_mae: 0.4914 Epoch 292/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3947 - mae: 0.3947 - val_loss: 0.4797 - val_mae: 0.4797 Epoch 293/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3774 - mae: 0.3774 - val_loss: 0.4880 - val_mae: 0.4880 Epoch 294/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3941 - mae: 0.3941 - val_loss: 0.4967 - val_mae: 0.4967 Epoch 295/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3841 - mae: 0.3841 - val_loss: 0.4998 - val_mae: 0.4998 Epoch 296/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3836 - mae: 0.3836 - val_loss: 0.4778 - val_mae: 0.4778 Epoch 297/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3783 - mae: 0.3783 - val_loss: 0.4831 - val_mae: 0.4831 Epoch 298/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3783 - mae: 0.3783 - val_loss: 0.4863 - val_mae: 0.4863 Epoch 299/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3819 - mae: 0.3819 - val_loss: 0.4779 - val_mae: 0.4779 Epoch 300/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3783 - mae: 0.3783 - val_loss: 0.4934 - val_mae: 0.4934 Epoch 301/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3867 - mae: 0.3867 - val_loss: 0.4798 - val_mae: 0.4798 Epoch 302/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3757 - mae: 0.3757 - val_loss: 0.4788 - val_mae: 0.4788 Epoch 303/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3826 - mae: 0.3826 - val_loss: 0.4872 - val_mae: 0.4872 Epoch 304/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3841 - mae: 0.3841 - val_loss: 0.4814 - val_mae: 0.4814 Epoch 305/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3782 - mae: 0.3782 - val_loss: 0.4896 - val_mae: 0.4896 Epoch 306/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3765 - mae: 0.3765 - val_loss: 0.4938 - val_mae: 0.4938 Epoch 307/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3878 - mae: 0.3878 - val_loss: 0.4866 - val_mae: 0.4866 Epoch 308/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3898 - mae: 0.3898 - val_loss: 0.4864 - val_mae: 0.4864 Epoch 309/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3951 - mae: 0.3951 - val_loss: 0.4847 - val_mae: 0.4847 Epoch 310/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3794 - mae: 0.3794 - val_loss: 0.4741 - val_mae: 0.4741 Epoch 311/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3763 - mae: 0.3763 - val_loss: 0.4802 - val_mae: 0.4802 Epoch 312/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3726 - mae: 0.3726 - val_loss: 0.4821 - val_mae: 0.4821 Epoch 313/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3758 - mae: 0.3758 - val_loss: 0.4803 - val_mae: 0.4803 Epoch 314/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3689 - mae: 0.3689 - val_loss: 0.4890 - val_mae: 0.4890 Epoch 315/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3845 - mae: 0.3845 - val_loss: 0.4941 - val_mae: 0.4941 Epoch 316/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3795 - mae: 0.3795 - val_loss: 0.4889 - val_mae: 0.4889 Epoch 317/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3876 - mae: 0.3876 - val_loss: 0.4954 - val_mae: 0.4954 Epoch 318/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3777 - mae: 0.3777 - val_loss: 0.4762 - val_mae: 0.4762 Epoch 319/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3769 - mae: 0.3769 - val_loss: 0.4821 - val_mae: 0.4821 Epoch 320/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3804 - mae: 0.3804 - val_loss: 0.4753 - val_mae: 0.4753 Epoch 321/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3717 - mae: 0.3717 - val_loss: 0.4779 - val_mae: 0.4779 Epoch 322/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3772 - mae: 0.3772 - val_loss: 0.4707 - val_mae: 0.4707 Epoch 323/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3756 - mae: 0.3756 - val_loss: 0.4774 - val_mae: 0.4774 Epoch 324/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3755 - mae: 0.3755 - val_loss: 0.4811 - val_mae: 0.4811 Epoch 325/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3725 - mae: 0.3725 - val_loss: 0.4730 - val_mae: 0.4730 Epoch 326/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3811 - mae: 0.3811 - val_loss: 0.4724 - val_mae: 0.4724 Epoch 327/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3755 - mae: 0.3755 - val_loss: 0.4841 - val_mae: 0.4841 Epoch 328/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3758 - mae: 0.3758 - val_loss: 0.4828 - val_mae: 0.4828 Epoch 329/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3755 - mae: 0.3755 - val_loss: 0.4866 - val_mae: 0.4866 Epoch 330/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3808 - mae: 0.3808 - val_loss: 0.4848 - val_mae: 0.4848 Epoch 331/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3820 - mae: 0.3820 - val_loss: 0.4801 - val_mae: 0.4801 Epoch 332/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3754 - mae: 0.3754 - val_loss: 0.4870 - val_mae: 0.4870 Epoch 333/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3721 - mae: 0.3721 - val_loss: 0.4842 - val_mae: 0.4842 Epoch 334/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3822 - mae: 0.3822 - val_loss: 0.4774 - val_mae: 0.4774 Epoch 335/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3775 - mae: 0.3775 - val_loss: 0.4817 - val_mae: 0.4817 Epoch 336/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3706 - mae: 0.3706 - val_loss: 0.4900 - val_mae: 0.4900 Epoch 337/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3726 - mae: 0.3726 - val_loss: 0.4754 - val_mae: 0.4754 Epoch 338/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3752 - mae: 0.3752 - val_loss: 0.4946 - val_mae: 0.4946 Epoch 339/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3788 - mae: 0.3788 - val_loss: 0.4900 - val_mae: 0.4900 Epoch 340/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3776 - mae: 0.3776 - val_loss: 0.4734 - val_mae: 0.4734 Epoch 341/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3744 - mae: 0.3744 - val_loss: 0.4856 - val_mae: 0.4856 Epoch 342/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3731 - mae: 0.3731 - val_loss: 0.4822 - val_mae: 0.4822 Epoch 343/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3724 - mae: 0.3724 - val_loss: 0.4801 - val_mae: 0.4801 Epoch 344/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3724 - mae: 0.3724 - val_loss: 0.4764 - val_mae: 0.4764 Epoch 345/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3775 - mae: 0.3775 - val_loss: 0.4868 - val_mae: 0.4868 Epoch 346/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3774 - mae: 0.3774 - val_loss: 0.4836 - val_mae: 0.4836 Epoch 347/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3775 - mae: 0.3775 - val_loss: 0.4888 - val_mae: 0.4888 Epoch 348/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3817 - mae: 0.3817 - val_loss: 0.4874 - val_mae: 0.4874 Epoch 349/500 35/35 [==============================] - 0s 2ms/step - loss: 0.3735 - mae: 0.3735 - val_loss: 0.4810 - val_mae: 0.4810 Epoch 00349: early stopping
<tensorflow.python.keras.callbacks.History at 0x295778f52b0>
pred5 = model2.predict(X_test)
mean_absolute_error(y_test,pred5)
0.48102102677027386
pred_num = pd.Series([round(i[0]) for i in pred5])
pred_num.unique()
array([7, 5, 6, 8], dtype=int64)
training_pred = model2.predict(X_train)
training_mae = mean_absolute_error(y_train,training_pred)
test_pred = model2.predict(X_test)
test_mae = mean_absolute_error(y_test,test_pred)
training_mae
0.36278915575724613
test_mae
0.48102102677027386
df['Signal_Strength'].value_counts()
# We also notice that number 7,4,8 and 3 are very less. We try to SMOTE oversample the least
5 681 6 638 7 199 4 53 8 18 3 10 Name: Signal_Strength, dtype: int64
ST = SMOTETomek({4:550,8:590,3:590,7:600})
X_resampled, y_resampled = ST.fit_resample(df.drop('Signal_Strength',axis=1),df['Signal_Strength'])
X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.3, random_state=11)
SS = StandardScaler()
X_train = SS.fit_transform(X_train)
X_test = SS.transform(X_test)
# y_resampled = np.array(pd.get_dummies(y_resampled),dtype='float32')
ES = EarlyStopping(monitor='mean_squared_error',mode='min',verbose=1,patience=15)
model6 = Sequential()
model6.add(Dense(20,input_shape=(11,),activation='relu'))
model6.add(Dense(10,activation='relu'))
model6.add(Dense(5,activation='relu'))
model6.add(Dense(3,activation='relu'))
model6.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=0.05, decay=1e-2)
model6.compile(optimizer=adam,metrics='mean_squared_error',loss='mean_squared_error')
model6.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
Epoch 1/500 76/76 [==============================] - 1s 5ms/step - loss: 2.6754 - mean_squared_error: 2.6754 - val_loss: 0.9278 - val_mean_squared_error: 0.9278 Epoch 2/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6655 - mean_squared_error: 0.6655 - val_loss: 0.6275 - val_mean_squared_error: 0.6275 Epoch 3/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5528 - mean_squared_error: 0.5528 - val_loss: 0.5357 - val_mean_squared_error: 0.5357 Epoch 4/500 76/76 [==============================] - 0s 2ms/step - loss: 0.4958 - mean_squared_error: 0.4958 - val_loss: 0.4765 - val_mean_squared_error: 0.4765 Epoch 5/500 76/76 [==============================] - 0s 2ms/step - loss: 0.4658 - mean_squared_error: 0.4658 - val_loss: 0.4685 - val_mean_squared_error: 0.4685 Epoch 6/500 76/76 [==============================] - 0s 2ms/step - loss: 0.4515 - mean_squared_error: 0.4515 - val_loss: 0.4406 - val_mean_squared_error: 0.4406 Epoch 7/500 76/76 [==============================] - 0s 2ms/step - loss: 0.4238 - mean_squared_error: 0.4238 - val_loss: 0.4654 - val_mean_squared_error: 0.4654 Epoch 8/500 76/76 [==============================] - 0s 2ms/step - loss: 0.4111 - mean_squared_error: 0.4111 - val_loss: 0.4343 - val_mean_squared_error: 0.4343 Epoch 9/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3941 - mean_squared_error: 0.3941 - val_loss: 0.4171 - val_mean_squared_error: 0.4171 Epoch 10/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3830 - mean_squared_error: 0.3830 - val_loss: 0.4120 - val_mean_squared_error: 0.4120 Epoch 11/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3725 - mean_squared_error: 0.3725 - val_loss: 0.4237 - val_mean_squared_error: 0.4237 Epoch 12/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3788 - mean_squared_error: 0.3788 - val_loss: 0.4123 - val_mean_squared_error: 0.4123 Epoch 13/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3657 - mean_squared_error: 0.3657 - val_loss: 0.3907 - val_mean_squared_error: 0.3907 Epoch 14/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3556 - mean_squared_error: 0.3556 - val_loss: 0.3926 - val_mean_squared_error: 0.3926 Epoch 15/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3453 - mean_squared_error: 0.3453 - val_loss: 0.3762 - val_mean_squared_error: 0.3762 Epoch 16/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3361 - mean_squared_error: 0.3361 - val_loss: 0.3852 - val_mean_squared_error: 0.3852 Epoch 17/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3368 - mean_squared_error: 0.3368 - val_loss: 0.3653 - val_mean_squared_error: 0.3653 Epoch 18/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3349 - mean_squared_error: 0.3349 - val_loss: 0.3715 - val_mean_squared_error: 0.3715 Epoch 19/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3295 - mean_squared_error: 0.3295 - val_loss: 0.3640 - val_mean_squared_error: 0.3640 Epoch 20/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3238 - mean_squared_error: 0.3238 - val_loss: 0.3689 - val_mean_squared_error: 0.3689 Epoch 21/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3175 - mean_squared_error: 0.3175 - val_loss: 0.3515 - val_mean_squared_error: 0.3515 Epoch 22/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3190 - mean_squared_error: 0.3190 - val_loss: 0.3517 - val_mean_squared_error: 0.3517 Epoch 23/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3114 - mean_squared_error: 0.3114 - val_loss: 0.3527 - val_mean_squared_error: 0.3527 Epoch 24/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3174 - mean_squared_error: 0.3174 - val_loss: 0.3583 - val_mean_squared_error: 0.3583 Epoch 25/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3122 - mean_squared_error: 0.3122 - val_loss: 0.3536 - val_mean_squared_error: 0.3536 Epoch 26/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3109 - mean_squared_error: 0.3109 - val_loss: 0.3488 - val_mean_squared_error: 0.3488 Epoch 27/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3041 - mean_squared_error: 0.3041 - val_loss: 0.3569 - val_mean_squared_error: 0.3569 Epoch 28/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3118 - mean_squared_error: 0.3118 - val_loss: 0.3560 - val_mean_squared_error: 0.3560 Epoch 29/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3010 - mean_squared_error: 0.3010 - val_loss: 0.3629 - val_mean_squared_error: 0.3629 Epoch 30/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3037 - mean_squared_error: 0.3037 - val_loss: 0.3524 - val_mean_squared_error: 0.3524 Epoch 31/500 76/76 [==============================] - 0s 2ms/step - loss: 0.3009 - mean_squared_error: 0.3009 - val_loss: 0.3518 - val_mean_squared_error: 0.3518 Epoch 32/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2987 - mean_squared_error: 0.2987 - val_loss: 0.3475 - val_mean_squared_error: 0.3475 Epoch 33/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2959 - mean_squared_error: 0.2959 - val_loss: 0.3348 - val_mean_squared_error: 0.3348 Epoch 34/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2954 - mean_squared_error: 0.2954 - val_loss: 0.3442 - val_mean_squared_error: 0.3442 Epoch 35/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2940 - mean_squared_error: 0.2940 - val_loss: 0.3402 - val_mean_squared_error: 0.3402 Epoch 36/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2955 - mean_squared_error: 0.2955 - val_loss: 0.3402 - val_mean_squared_error: 0.3402 Epoch 37/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2922 - mean_squared_error: 0.2922 - val_loss: 0.3399 - val_mean_squared_error: 0.3399 Epoch 38/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2937 - mean_squared_error: 0.2937 - val_loss: 0.3373 - val_mean_squared_error: 0.3373 Epoch 39/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2896 - mean_squared_error: 0.2896 - val_loss: 0.3348 - val_mean_squared_error: 0.3348 Epoch 40/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2913 - mean_squared_error: 0.2913 - val_loss: 0.3409 - val_mean_squared_error: 0.3409 Epoch 41/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2866 - mean_squared_error: 0.2866 - val_loss: 0.3366 - val_mean_squared_error: 0.3366 Epoch 42/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2863 - mean_squared_error: 0.2863 - val_loss: 0.3472 - val_mean_squared_error: 0.3472 Epoch 43/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2881 - mean_squared_error: 0.2881 - val_loss: 0.3346 - val_mean_squared_error: 0.3346 Epoch 44/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2850 - mean_squared_error: 0.2850 - val_loss: 0.3363 - val_mean_squared_error: 0.3363 Epoch 45/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2838 - mean_squared_error: 0.2838 - val_loss: 0.3353 - val_mean_squared_error: 0.3353 Epoch 46/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2835 - mean_squared_error: 0.2835 - val_loss: 0.3342 - val_mean_squared_error: 0.3342 Epoch 47/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2819 - mean_squared_error: 0.2819 - val_loss: 0.3315 - val_mean_squared_error: 0.3315 Epoch 48/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2800 - mean_squared_error: 0.2800 - val_loss: 0.3413 - val_mean_squared_error: 0.3413 Epoch 49/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2779 - mean_squared_error: 0.2779 - val_loss: 0.3364 - val_mean_squared_error: 0.3364 Epoch 50/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2782 - mean_squared_error: 0.2782 - val_loss: 0.3339 - val_mean_squared_error: 0.3339 Epoch 51/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2770 - mean_squared_error: 0.2770 - val_loss: 0.3370 - val_mean_squared_error: 0.3370 Epoch 52/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2762 - mean_squared_error: 0.2762 - val_loss: 0.3329 - val_mean_squared_error: 0.3329 Epoch 53/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2748 - mean_squared_error: 0.2748 - val_loss: 0.3359 - val_mean_squared_error: 0.3359 Epoch 54/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2768 - mean_squared_error: 0.2768 - val_loss: 0.3362 - val_mean_squared_error: 0.3362 Epoch 55/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2754 - mean_squared_error: 0.2754 - val_loss: 0.3402 - val_mean_squared_error: 0.3402 Epoch 56/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2741 - mean_squared_error: 0.2741 - val_loss: 0.3390 - val_mean_squared_error: 0.3390 Epoch 57/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2718 - mean_squared_error: 0.2718 - val_loss: 0.3364 - val_mean_squared_error: 0.3364 Epoch 58/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2717 - mean_squared_error: 0.2717 - val_loss: 0.3389 - val_mean_squared_error: 0.3389 Epoch 59/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2763 - mean_squared_error: 0.2763 - val_loss: 0.3369 - val_mean_squared_error: 0.3369 Epoch 60/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2724 - mean_squared_error: 0.2724 - val_loss: 0.3344 - val_mean_squared_error: 0.3344 Epoch 61/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2695 - mean_squared_error: 0.2695 - val_loss: 0.3310 - val_mean_squared_error: 0.3310 Epoch 62/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2713 - mean_squared_error: 0.2713 - val_loss: 0.3301 - val_mean_squared_error: 0.3301 Epoch 63/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2693 - mean_squared_error: 0.2693 - val_loss: 0.3329 - val_mean_squared_error: 0.3329 Epoch 64/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2700 - mean_squared_error: 0.2700 - val_loss: 0.3328 - val_mean_squared_error: 0.3328 Epoch 65/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2678 - mean_squared_error: 0.2678 - val_loss: 0.3318 - val_mean_squared_error: 0.3318 Epoch 66/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2665 - mean_squared_error: 0.2665 - val_loss: 0.3291 - val_mean_squared_error: 0.3291 Epoch 67/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2658 - mean_squared_error: 0.2658 - val_loss: 0.3322 - val_mean_squared_error: 0.3322 Epoch 68/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2684 - mean_squared_error: 0.2684 - val_loss: 0.3298 - val_mean_squared_error: 0.3298 Epoch 69/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2672 - mean_squared_error: 0.2672 - val_loss: 0.3344 - val_mean_squared_error: 0.3344 Epoch 70/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2656 - mean_squared_error: 0.2656 - val_loss: 0.3339 - val_mean_squared_error: 0.3339 Epoch 71/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2650 - mean_squared_error: 0.2650 - val_loss: 0.3286 - val_mean_squared_error: 0.3286 Epoch 72/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2645 - mean_squared_error: 0.2645 - val_loss: 0.3301 - val_mean_squared_error: 0.3301 Epoch 73/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2638 - mean_squared_error: 0.2638 - val_loss: 0.3302 - val_mean_squared_error: 0.3302 Epoch 74/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2630 - mean_squared_error: 0.2630 - val_loss: 0.3293 - val_mean_squared_error: 0.3293 Epoch 75/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2625 - mean_squared_error: 0.2625 - val_loss: 0.3314 - val_mean_squared_error: 0.3314 Epoch 76/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2618 - mean_squared_error: 0.2618 - val_loss: 0.3279 - val_mean_squared_error: 0.3279 Epoch 77/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2605 - mean_squared_error: 0.2605 - val_loss: 0.3269 - val_mean_squared_error: 0.3269 Epoch 78/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2599 - mean_squared_error: 0.2599 - val_loss: 0.3287 - val_mean_squared_error: 0.3287 Epoch 79/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2605 - mean_squared_error: 0.2605 - val_loss: 0.3238 - val_mean_squared_error: 0.3238 Epoch 80/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2596 - mean_squared_error: 0.2596 - val_loss: 0.3302 - val_mean_squared_error: 0.3302 Epoch 81/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2593 - mean_squared_error: 0.2593 - val_loss: 0.3397 - val_mean_squared_error: 0.3397 Epoch 82/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2605 - mean_squared_error: 0.2605 - val_loss: 0.3277 - val_mean_squared_error: 0.3277 Epoch 83/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2590 - mean_squared_error: 0.2590 - val_loss: 0.3297 - val_mean_squared_error: 0.3297 Epoch 84/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2582 - mean_squared_error: 0.2582 - val_loss: 0.3243 - val_mean_squared_error: 0.3243 Epoch 85/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2579 - mean_squared_error: 0.2579 - val_loss: 0.3252 - val_mean_squared_error: 0.3252 Epoch 86/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2586 - mean_squared_error: 0.2586 - val_loss: 0.3276 - val_mean_squared_error: 0.3276 Epoch 87/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2566 - mean_squared_error: 0.2566 - val_loss: 0.3270 - val_mean_squared_error: 0.3270 Epoch 88/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2568 - mean_squared_error: 0.2568 - val_loss: 0.3271 - val_mean_squared_error: 0.3271 Epoch 89/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2571 - mean_squared_error: 0.2571 - val_loss: 0.3283 - val_mean_squared_error: 0.3283 Epoch 90/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2567 - mean_squared_error: 0.2567 - val_loss: 0.3263 - val_mean_squared_error: 0.3263 Epoch 91/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2559 - mean_squared_error: 0.2559 - val_loss: 0.3285 - val_mean_squared_error: 0.3285 Epoch 92/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2560 - mean_squared_error: 0.2560 - val_loss: 0.3264 - val_mean_squared_error: 0.3264 Epoch 93/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2553 - mean_squared_error: 0.2553 - val_loss: 0.3261 - val_mean_squared_error: 0.3261 Epoch 94/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2546 - mean_squared_error: 0.2546 - val_loss: 0.3253 - val_mean_squared_error: 0.3253 Epoch 95/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2545 - mean_squared_error: 0.2545 - val_loss: 0.3317 - val_mean_squared_error: 0.3317 Epoch 96/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2549 - mean_squared_error: 0.2549 - val_loss: 0.3256 - val_mean_squared_error: 0.3256 Epoch 97/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2557 - mean_squared_error: 0.2557 - val_loss: 0.3249 - val_mean_squared_error: 0.3249 Epoch 98/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2539 - mean_squared_error: 0.2539 - val_loss: 0.3246 - val_mean_squared_error: 0.3246 Epoch 99/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2540 - mean_squared_error: 0.2540 - val_loss: 0.3262 - val_mean_squared_error: 0.3262 Epoch 100/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2530 - mean_squared_error: 0.2530 - val_loss: 0.3230 - val_mean_squared_error: 0.3230 Epoch 101/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2528 - mean_squared_error: 0.2528 - val_loss: 0.3245 - val_mean_squared_error: 0.3245 Epoch 102/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2523 - mean_squared_error: 0.2523 - val_loss: 0.3287 - val_mean_squared_error: 0.3287 Epoch 103/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2546 - mean_squared_error: 0.2546 - val_loss: 0.3318 - val_mean_squared_error: 0.3318 Epoch 104/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2525 - mean_squared_error: 0.2525 - val_loss: 0.3245 - val_mean_squared_error: 0.3245 Epoch 105/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2512 - mean_squared_error: 0.2512 - val_loss: 0.3292 - val_mean_squared_error: 0.3292 Epoch 106/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2528 - mean_squared_error: 0.2528 - val_loss: 0.3218 - val_mean_squared_error: 0.3218 Epoch 107/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2527 - mean_squared_error: 0.2527 - val_loss: 0.3306 - val_mean_squared_error: 0.3306 Epoch 108/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2519 - mean_squared_error: 0.2519 - val_loss: 0.3238 - val_mean_squared_error: 0.3238 Epoch 109/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2507 - mean_squared_error: 0.2507 - val_loss: 0.3235 - val_mean_squared_error: 0.3235 Epoch 110/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2513 - mean_squared_error: 0.2513 - val_loss: 0.3251 - val_mean_squared_error: 0.3251 Epoch 111/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2515 - mean_squared_error: 0.2515 - val_loss: 0.3240 - val_mean_squared_error: 0.3240 Epoch 112/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2500 - mean_squared_error: 0.2500 - val_loss: 0.3237 - val_mean_squared_error: 0.3237 Epoch 113/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2492 - mean_squared_error: 0.2492 - val_loss: 0.3230 - val_mean_squared_error: 0.3230 Epoch 114/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2502 - mean_squared_error: 0.2502 - val_loss: 0.3233 - val_mean_squared_error: 0.3233 Epoch 115/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2498 - mean_squared_error: 0.2498 - val_loss: 0.3241 - val_mean_squared_error: 0.3241 Epoch 116/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2493 - mean_squared_error: 0.2493 - val_loss: 0.3212 - val_mean_squared_error: 0.3212 Epoch 117/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2495 - mean_squared_error: 0.2495 - val_loss: 0.3213 - val_mean_squared_error: 0.3213 Epoch 118/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2487 - mean_squared_error: 0.2487 - val_loss: 0.3243 - val_mean_squared_error: 0.3243 Epoch 119/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2488 - mean_squared_error: 0.2488 - val_loss: 0.3224 - val_mean_squared_error: 0.3224 Epoch 120/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2480 - mean_squared_error: 0.2480 - val_loss: 0.3223 - val_mean_squared_error: 0.3223 Epoch 121/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2484 - mean_squared_error: 0.2484 - val_loss: 0.3197 - val_mean_squared_error: 0.3197 Epoch 122/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2480 - mean_squared_error: 0.2480 - val_loss: 0.3210 - val_mean_squared_error: 0.3210 Epoch 123/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2482 - mean_squared_error: 0.2482 - val_loss: 0.3227 - val_mean_squared_error: 0.3227 Epoch 124/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2482 - mean_squared_error: 0.2482 - val_loss: 0.3221 - val_mean_squared_error: 0.3221 Epoch 125/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2470 - mean_squared_error: 0.2470 - val_loss: 0.3227 - val_mean_squared_error: 0.3227 Epoch 126/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2467 - mean_squared_error: 0.2467 - val_loss: 0.3253 - val_mean_squared_error: 0.3253 Epoch 127/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2483 - mean_squared_error: 0.2483 - val_loss: 0.3264 - val_mean_squared_error: 0.3264 Epoch 128/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2483 - mean_squared_error: 0.2483 - val_loss: 0.3231 - val_mean_squared_error: 0.3231 Epoch 129/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2461 - mean_squared_error: 0.2461 - val_loss: 0.3222 - val_mean_squared_error: 0.3222 Epoch 130/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2484 - mean_squared_error: 0.2484 - val_loss: 0.3222 - val_mean_squared_error: 0.3222 Epoch 131/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2471 - mean_squared_error: 0.2471 - val_loss: 0.3243 - val_mean_squared_error: 0.3243 Epoch 132/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2479 - mean_squared_error: 0.2479 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 133/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2458 - mean_squared_error: 0.2458 - val_loss: 0.3217 - val_mean_squared_error: 0.3217 Epoch 134/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2456 - mean_squared_error: 0.2456 - val_loss: 0.3229 - val_mean_squared_error: 0.3229 Epoch 135/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2454 - mean_squared_error: 0.2454 - val_loss: 0.3239 - val_mean_squared_error: 0.3239 Epoch 136/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2464 - mean_squared_error: 0.2464 - val_loss: 0.3221 - val_mean_squared_error: 0.3221 Epoch 137/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2458 - mean_squared_error: 0.2458 - val_loss: 0.3244 - val_mean_squared_error: 0.3244 Epoch 138/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2463 - mean_squared_error: 0.2463 - val_loss: 0.3228 - val_mean_squared_error: 0.3228 Epoch 139/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2444 - mean_squared_error: 0.2444 - val_loss: 0.3219 - val_mean_squared_error: 0.3219 Epoch 140/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2476 - mean_squared_error: 0.2476 - val_loss: 0.3211 - val_mean_squared_error: 0.3211 Epoch 141/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2456 - mean_squared_error: 0.2456 - val_loss: 0.3215 - val_mean_squared_error: 0.3215 Epoch 142/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2446 - mean_squared_error: 0.2446 - val_loss: 0.3214 - val_mean_squared_error: 0.3214 Epoch 143/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2450 - mean_squared_error: 0.2450 - val_loss: 0.3226 - val_mean_squared_error: 0.3226 Epoch 144/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2463 - mean_squared_error: 0.2463 - val_loss: 0.3225 - val_mean_squared_error: 0.3225 Epoch 145/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2454 - mean_squared_error: 0.2454 - val_loss: 0.3211 - val_mean_squared_error: 0.3211 Epoch 146/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2445 - mean_squared_error: 0.2445 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 147/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2438 - mean_squared_error: 0.2438 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 148/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2440 - mean_squared_error: 0.2440 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 149/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2435 - mean_squared_error: 0.2435 - val_loss: 0.3212 - val_mean_squared_error: 0.3212 Epoch 150/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2434 - mean_squared_error: 0.2434 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 151/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2449 - mean_squared_error: 0.2449 - val_loss: 0.3226 - val_mean_squared_error: 0.3226 Epoch 152/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2441 - mean_squared_error: 0.2441 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 153/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2437 - mean_squared_error: 0.2437 - val_loss: 0.3246 - val_mean_squared_error: 0.3246 Epoch 154/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2432 - mean_squared_error: 0.2432 - val_loss: 0.3235 - val_mean_squared_error: 0.3235 Epoch 155/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2435 - mean_squared_error: 0.2435 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 156/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2436 - mean_squared_error: 0.2436 - val_loss: 0.3235 - val_mean_squared_error: 0.3235 Epoch 157/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2446 - mean_squared_error: 0.2446 - val_loss: 0.3225 - val_mean_squared_error: 0.3225 Epoch 158/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2436 - mean_squared_error: 0.2436 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 159/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2425 - mean_squared_error: 0.2425 - val_loss: 0.3201 - val_mean_squared_error: 0.3201 Epoch 160/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2421 - mean_squared_error: 0.2421 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 161/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2433 - mean_squared_error: 0.2433 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 162/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2418 - mean_squared_error: 0.2418 - val_loss: 0.3222 - val_mean_squared_error: 0.3222 Epoch 163/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2425 - mean_squared_error: 0.2425 - val_loss: 0.3221 - val_mean_squared_error: 0.3221 Epoch 164/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2418 - mean_squared_error: 0.2418 - val_loss: 0.3196 - val_mean_squared_error: 0.3196 Epoch 165/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2411 - mean_squared_error: 0.2411 - val_loss: 0.3202 - val_mean_squared_error: 0.3202 Epoch 166/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2413 - mean_squared_error: 0.2413 - val_loss: 0.3216 - val_mean_squared_error: 0.3216 Epoch 167/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2414 - mean_squared_error: 0.2414 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 168/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2418 - mean_squared_error: 0.2418 - val_loss: 0.3207 - val_mean_squared_error: 0.3207 Epoch 169/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2412 - mean_squared_error: 0.2412 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 170/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2407 - mean_squared_error: 0.2407 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 171/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2404 - mean_squared_error: 0.2404 - val_loss: 0.3219 - val_mean_squared_error: 0.3219 Epoch 172/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2412 - mean_squared_error: 0.2412 - val_loss: 0.3210 - val_mean_squared_error: 0.3210 Epoch 173/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2406 - mean_squared_error: 0.2406 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 174/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2392 - mean_squared_error: 0.2392 - val_loss: 0.3273 - val_mean_squared_error: 0.3273 Epoch 175/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2411 - mean_squared_error: 0.2411 - val_loss: 0.3210 - val_mean_squared_error: 0.3210 Epoch 176/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2402 - mean_squared_error: 0.2402 - val_loss: 0.3202 - val_mean_squared_error: 0.3202 Epoch 177/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2401 - mean_squared_error: 0.2401 - val_loss: 0.3221 - val_mean_squared_error: 0.3221 Epoch 178/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2404 - mean_squared_error: 0.2404 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 179/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2400 - mean_squared_error: 0.2400 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 180/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2404 - mean_squared_error: 0.2404 - val_loss: 0.3218 - val_mean_squared_error: 0.3218 Epoch 181/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2393 - mean_squared_error: 0.2393 - val_loss: 0.3222 - val_mean_squared_error: 0.3222 Epoch 182/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2398 - mean_squared_error: 0.2398 - val_loss: 0.3211 - val_mean_squared_error: 0.3211 Epoch 183/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2393 - mean_squared_error: 0.2393 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 184/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2390 - mean_squared_error: 0.2390 - val_loss: 0.3197 - val_mean_squared_error: 0.3197 Epoch 185/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2391 - mean_squared_error: 0.2391 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 186/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2385 - mean_squared_error: 0.2385 - val_loss: 0.3220 - val_mean_squared_error: 0.3220 Epoch 187/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2390 - mean_squared_error: 0.2390 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 188/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2385 - mean_squared_error: 0.2385 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 189/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2396 - mean_squared_error: 0.2396 - val_loss: 0.3218 - val_mean_squared_error: 0.3218 Epoch 190/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2394 - mean_squared_error: 0.2394 - val_loss: 0.3227 - val_mean_squared_error: 0.3227 Epoch 191/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2380 - mean_squared_error: 0.2380 - val_loss: 0.3242 - val_mean_squared_error: 0.3242 Epoch 192/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2384 - mean_squared_error: 0.2384 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 193/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2378 - mean_squared_error: 0.2378 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 194/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2382 - mean_squared_error: 0.2382 - val_loss: 0.3237 - val_mean_squared_error: 0.3237 Epoch 195/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2386 - mean_squared_error: 0.2386 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 196/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2379 - mean_squared_error: 0.2379 - val_loss: 0.3212 - val_mean_squared_error: 0.3212 Epoch 197/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2370 - mean_squared_error: 0.2370 - val_loss: 0.3206 - val_mean_squared_error: 0.3206 Epoch 198/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2374 - mean_squared_error: 0.2374 - val_loss: 0.3234 - val_mean_squared_error: 0.3234 Epoch 199/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2377 - mean_squared_error: 0.2377 - val_loss: 0.3196 - val_mean_squared_error: 0.3196 Epoch 200/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2372 - mean_squared_error: 0.2372 - val_loss: 0.3207 - val_mean_squared_error: 0.3207 Epoch 201/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2382 - mean_squared_error: 0.2382 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 202/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2372 - mean_squared_error: 0.2372 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 203/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2370 - mean_squared_error: 0.2370 - val_loss: 0.3212 - val_mean_squared_error: 0.3212 Epoch 204/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2374 - mean_squared_error: 0.2374 - val_loss: 0.3220 - val_mean_squared_error: 0.3220 Epoch 205/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2366 - mean_squared_error: 0.2366 - val_loss: 0.3220 - val_mean_squared_error: 0.3220 Epoch 206/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2366 - mean_squared_error: 0.2366 - val_loss: 0.3220 - val_mean_squared_error: 0.3220 Epoch 207/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2366 - mean_squared_error: 0.2366 - val_loss: 0.3215 - val_mean_squared_error: 0.3215 Epoch 208/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2370 - mean_squared_error: 0.2370 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 209/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2365 - mean_squared_error: 0.2365 - val_loss: 0.3206 - val_mean_squared_error: 0.3206 Epoch 210/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2364 - mean_squared_error: 0.2364 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 211/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2369 - mean_squared_error: 0.2369 - val_loss: 0.3213 - val_mean_squared_error: 0.3213 Epoch 212/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2366 - mean_squared_error: 0.2366 - val_loss: 0.3231 - val_mean_squared_error: 0.3231 Epoch 213/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2363 - mean_squared_error: 0.2363 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 214/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2358 - mean_squared_error: 0.2358 - val_loss: 0.3206 - val_mean_squared_error: 0.3206 Epoch 215/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2371 - mean_squared_error: 0.2371 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 216/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2363 - mean_squared_error: 0.2363 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 217/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2364 - mean_squared_error: 0.2364 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 218/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2358 - mean_squared_error: 0.2358 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 219/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2358 - mean_squared_error: 0.2358 - val_loss: 0.3216 - val_mean_squared_error: 0.3216 Epoch 220/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2363 - mean_squared_error: 0.2363 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 221/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2358 - mean_squared_error: 0.2358 - val_loss: 0.3204 - val_mean_squared_error: 0.3204 Epoch 222/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2353 - mean_squared_error: 0.2353 - val_loss: 0.3201 - val_mean_squared_error: 0.3201 Epoch 223/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2351 - mean_squared_error: 0.2351 - val_loss: 0.3202 - val_mean_squared_error: 0.3202 Epoch 224/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2346 - mean_squared_error: 0.2346 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 225/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2347 - mean_squared_error: 0.2347 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 226/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2347 - mean_squared_error: 0.2347 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 227/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2344 - mean_squared_error: 0.2344 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 228/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2348 - mean_squared_error: 0.2348 - val_loss: 0.3197 - val_mean_squared_error: 0.3197 Epoch 229/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2340 - mean_squared_error: 0.2340 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 230/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2342 - mean_squared_error: 0.2342 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 231/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2340 - mean_squared_error: 0.2340 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 232/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2336 - mean_squared_error: 0.2336 - val_loss: 0.3196 - val_mean_squared_error: 0.3196 Epoch 233/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2337 - mean_squared_error: 0.2337 - val_loss: 0.3214 - val_mean_squared_error: 0.3214 Epoch 234/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2345 - mean_squared_error: 0.2345 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 235/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2329 - mean_squared_error: 0.2329 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 236/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2333 - mean_squared_error: 0.2333 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 237/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2332 - mean_squared_error: 0.2332 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 238/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2334 - mean_squared_error: 0.2334 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 239/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2336 - mean_squared_error: 0.2336 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 240/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2331 - mean_squared_error: 0.2331 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 241/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2323 - mean_squared_error: 0.2323 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 242/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2324 - mean_squared_error: 0.2324 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 243/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2325 - mean_squared_error: 0.2325 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 244/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2324 - mean_squared_error: 0.2324 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 245/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2321 - mean_squared_error: 0.2321 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 246/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2326 - mean_squared_error: 0.2326 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 247/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2325 - mean_squared_error: 0.2325 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 248/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2316 - mean_squared_error: 0.2316 - val_loss: 0.3208 - val_mean_squared_error: 0.3208 Epoch 249/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2314 - mean_squared_error: 0.2314 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 250/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2324 - mean_squared_error: 0.2324 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 251/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2322 - mean_squared_error: 0.2322 - val_loss: 0.3209 - val_mean_squared_error: 0.3209 Epoch 252/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2316 - mean_squared_error: 0.2316 - val_loss: 0.3201 - val_mean_squared_error: 0.3201 Epoch 253/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2314 - mean_squared_error: 0.2314 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 254/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2313 - mean_squared_error: 0.2313 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 255/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2312 - mean_squared_error: 0.2312 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 256/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2313 - mean_squared_error: 0.2313 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 257/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2314 - mean_squared_error: 0.2314 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 258/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2310 - mean_squared_error: 0.2310 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 259/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2305 - mean_squared_error: 0.2305 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 260/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2311 - mean_squared_error: 0.2311 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 261/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2311 - mean_squared_error: 0.2311 - val_loss: 0.3204 - val_mean_squared_error: 0.3204 Epoch 262/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2306 - mean_squared_error: 0.2306 - val_loss: 0.3197 - val_mean_squared_error: 0.3197 Epoch 263/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2302 - mean_squared_error: 0.2302 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 264/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2303 - mean_squared_error: 0.2303 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 265/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2307 - mean_squared_error: 0.2307 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 266/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2304 - mean_squared_error: 0.2304 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 267/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2301 - mean_squared_error: 0.2301 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 268/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2301 - mean_squared_error: 0.2301 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 269/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2302 - mean_squared_error: 0.2302 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 270/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2302 - mean_squared_error: 0.2302 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 271/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2295 - mean_squared_error: 0.2295 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 272/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2299 - mean_squared_error: 0.2299 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 273/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2297 - mean_squared_error: 0.2297 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 274/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2300 - mean_squared_error: 0.2300 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 275/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2293 - mean_squared_error: 0.2293 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 276/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2295 - mean_squared_error: 0.2295 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 277/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2297 - mean_squared_error: 0.2297 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 278/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2297 - mean_squared_error: 0.2297 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 279/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2293 - mean_squared_error: 0.2293 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 280/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2294 - mean_squared_error: 0.2294 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 281/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2296 - mean_squared_error: 0.2296 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 282/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2291 - mean_squared_error: 0.2291 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 283/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2290 - mean_squared_error: 0.2290 - val_loss: 0.3199 - val_mean_squared_error: 0.3199 Epoch 284/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2293 - mean_squared_error: 0.2293 - val_loss: 0.3201 - val_mean_squared_error: 0.3201 Epoch 285/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2293 - mean_squared_error: 0.2293 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 286/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2289 - mean_squared_error: 0.2289 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 287/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2290 - mean_squared_error: 0.2290 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 288/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2288 - mean_squared_error: 0.2288 - val_loss: 0.3180 - val_mean_squared_error: 0.3180 Epoch 289/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2294 - mean_squared_error: 0.2294 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 290/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2284 - mean_squared_error: 0.2284 - val_loss: 0.3197 - val_mean_squared_error: 0.3197 Epoch 291/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2285 - mean_squared_error: 0.2285 - val_loss: 0.3202 - val_mean_squared_error: 0.3202 Epoch 292/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2289 - mean_squared_error: 0.2289 - val_loss: 0.3186 - val_mean_squared_error: 0.3186 Epoch 293/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2288 - mean_squared_error: 0.2288 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 294/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2286 - mean_squared_error: 0.2286 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 295/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2285 - mean_squared_error: 0.2285 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 296/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2285 - mean_squared_error: 0.2285 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 297/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2283 - mean_squared_error: 0.2283 - val_loss: 0.3196 - val_mean_squared_error: 0.3196 Epoch 298/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2286 - mean_squared_error: 0.2286 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 299/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2279 - mean_squared_error: 0.2279 - val_loss: 0.3202 - val_mean_squared_error: 0.3202 Epoch 300/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2277 - mean_squared_error: 0.2277 - val_loss: 0.3196 - val_mean_squared_error: 0.3196 Epoch 301/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2282 - mean_squared_error: 0.2282 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 302/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2281 - mean_squared_error: 0.2281 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 303/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2276 - mean_squared_error: 0.2276 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 304/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2283 - mean_squared_error: 0.2283 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 305/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2276 - mean_squared_error: 0.2276 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 306/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2280 - mean_squared_error: 0.2280 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 307/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2278 - mean_squared_error: 0.2278 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 308/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2279 - mean_squared_error: 0.2279 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 309/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2275 - mean_squared_error: 0.2275 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 310/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2273 - mean_squared_error: 0.2273 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 311/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2272 - mean_squared_error: 0.2272 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 312/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2275 - mean_squared_error: 0.2275 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 313/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2275 - mean_squared_error: 0.2275 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 314/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2278 - mean_squared_error: 0.2278 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 315/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2274 - mean_squared_error: 0.2274 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 316/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2271 - mean_squared_error: 0.2271 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 317/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2273 - mean_squared_error: 0.2273 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 318/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2271 - mean_squared_error: 0.2271 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 319/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2268 - mean_squared_error: 0.2268 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 320/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2275 - mean_squared_error: 0.2275 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 321/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2264 - mean_squared_error: 0.2264 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 322/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2270 - mean_squared_error: 0.2270 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 323/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2271 - mean_squared_error: 0.2271 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 324/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2268 - mean_squared_error: 0.2268 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 325/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2274 - mean_squared_error: 0.2274 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 326/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2272 - mean_squared_error: 0.2272 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 327/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2267 - mean_squared_error: 0.2267 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 328/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2265 - mean_squared_error: 0.2265 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 329/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2262 - mean_squared_error: 0.2262 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 330/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2263 - mean_squared_error: 0.2263 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 331/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2264 - mean_squared_error: 0.2264 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 332/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2267 - mean_squared_error: 0.2267 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 333/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2260 - mean_squared_error: 0.2260 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 334/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2261 - mean_squared_error: 0.2261 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 335/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2264 - mean_squared_error: 0.2264 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 336/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2259 - mean_squared_error: 0.2259 - val_loss: 0.3186 - val_mean_squared_error: 0.3186 Epoch 337/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2260 - mean_squared_error: 0.2260 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 338/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2258 - mean_squared_error: 0.2258 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 339/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2261 - mean_squared_error: 0.2261 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 340/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2258 - mean_squared_error: 0.2258 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 341/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2256 - mean_squared_error: 0.2256 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 342/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2255 - mean_squared_error: 0.2255 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 343/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2258 - mean_squared_error: 0.2258 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 344/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2258 - mean_squared_error: 0.2258 - val_loss: 0.3180 - val_mean_squared_error: 0.3180 Epoch 345/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2257 - mean_squared_error: 0.2257 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 346/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2256 - mean_squared_error: 0.2256 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 347/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2255 - mean_squared_error: 0.2255 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 348/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2260 - mean_squared_error: 0.2260 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 349/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2251 - mean_squared_error: 0.2251 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 350/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2253 - mean_squared_error: 0.2253 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 351/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2250 - mean_squared_error: 0.2250 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 352/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2250 - mean_squared_error: 0.2250 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 353/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2249 - mean_squared_error: 0.2249 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 354/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2250 - mean_squared_error: 0.2250 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 355/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2249 - mean_squared_error: 0.2249 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 356/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2246 - mean_squared_error: 0.2246 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 357/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2242 - mean_squared_error: 0.2242 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 358/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2242 - mean_squared_error: 0.2242 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 359/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2238 - mean_squared_error: 0.2238 - val_loss: 0.3200 - val_mean_squared_error: 0.3200 Epoch 360/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2242 - mean_squared_error: 0.2242 - val_loss: 0.3195 - val_mean_squared_error: 0.3195 Epoch 361/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2236 - mean_squared_error: 0.2236 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 362/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2236 - mean_squared_error: 0.2236 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 363/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2238 - mean_squared_error: 0.2238 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 364/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2234 - mean_squared_error: 0.2234 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 365/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2235 - mean_squared_error: 0.2235 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 366/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2230 - mean_squared_error: 0.2230 - val_loss: 0.3205 - val_mean_squared_error: 0.3205 Epoch 367/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2227 - mean_squared_error: 0.2227 - val_loss: 0.3201 - val_mean_squared_error: 0.3201 Epoch 368/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2230 - mean_squared_error: 0.2230 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 369/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2231 - mean_squared_error: 0.2231 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 370/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2229 - mean_squared_error: 0.2229 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 371/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2230 - mean_squared_error: 0.2230 - val_loss: 0.3204 - val_mean_squared_error: 0.3204 Epoch 372/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2229 - mean_squared_error: 0.2229 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 373/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2232 - mean_squared_error: 0.2232 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 374/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2226 - mean_squared_error: 0.2226 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 375/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2223 - mean_squared_error: 0.2223 - val_loss: 0.3191 - val_mean_squared_error: 0.3191 Epoch 376/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2227 - mean_squared_error: 0.2227 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 377/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2222 - mean_squared_error: 0.2222 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 378/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2220 - mean_squared_error: 0.2220 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 379/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2223 - mean_squared_error: 0.2223 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 380/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2221 - mean_squared_error: 0.2221 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 381/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2218 - mean_squared_error: 0.2218 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 382/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2219 - mean_squared_error: 0.2219 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 383/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2219 - mean_squared_error: 0.2219 - val_loss: 0.3194 - val_mean_squared_error: 0.3194 Epoch 384/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2218 - mean_squared_error: 0.2218 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 385/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2217 - mean_squared_error: 0.2217 - val_loss: 0.3186 - val_mean_squared_error: 0.3186 Epoch 386/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2215 - mean_squared_error: 0.2215 - val_loss: 0.3186 - val_mean_squared_error: 0.3186 Epoch 387/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2217 - mean_squared_error: 0.2217 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 388/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2213 - mean_squared_error: 0.2213 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 389/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2216 - mean_squared_error: 0.2216 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 390/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2220 - mean_squared_error: 0.2220 - val_loss: 0.3188 - val_mean_squared_error: 0.3188 Epoch 391/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2216 - mean_squared_error: 0.2216 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 392/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2209 - mean_squared_error: 0.2209 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 393/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2218 - mean_squared_error: 0.2218 - val_loss: 0.3203 - val_mean_squared_error: 0.3203 Epoch 394/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2212 - mean_squared_error: 0.2212 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 395/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2212 - mean_squared_error: 0.2212 - val_loss: 0.3180 - val_mean_squared_error: 0.3180 Epoch 396/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2210 - mean_squared_error: 0.2210 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 397/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2214 - mean_squared_error: 0.2214 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 398/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2211 - mean_squared_error: 0.2211 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 399/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2210 - mean_squared_error: 0.2210 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 400/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2211 - mean_squared_error: 0.2211 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 401/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2204 - mean_squared_error: 0.2204 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 402/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2210 - mean_squared_error: 0.2210 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 403/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2205 - mean_squared_error: 0.2205 - val_loss: 0.3190 - val_mean_squared_error: 0.3190 Epoch 404/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2206 - mean_squared_error: 0.2206 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 405/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2204 - mean_squared_error: 0.2204 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 406/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2204 - mean_squared_error: 0.2204 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 407/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2204 - mean_squared_error: 0.2204 - val_loss: 0.3187 - val_mean_squared_error: 0.3187 Epoch 408/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2207 - mean_squared_error: 0.2207 - val_loss: 0.3216 - val_mean_squared_error: 0.3216 Epoch 409/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2203 - mean_squared_error: 0.2203 - val_loss: 0.3183 - val_mean_squared_error: 0.3183 Epoch 410/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2202 - mean_squared_error: 0.2202 - val_loss: 0.3186 - val_mean_squared_error: 0.3186 Epoch 411/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2203 - mean_squared_error: 0.2203 - val_loss: 0.3198 - val_mean_squared_error: 0.3198 Epoch 412/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2202 - mean_squared_error: 0.2202 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 413/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2205 - mean_squared_error: 0.2205 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 414/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2204 - mean_squared_error: 0.2204 - val_loss: 0.3189 - val_mean_squared_error: 0.3189 Epoch 415/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2198 - mean_squared_error: 0.2198 - val_loss: 0.3192 - val_mean_squared_error: 0.3192 Epoch 416/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2206 - mean_squared_error: 0.2206 - val_loss: 0.3193 - val_mean_squared_error: 0.3193 Epoch 417/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2202 - mean_squared_error: 0.2202 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 418/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2197 - mean_squared_error: 0.2197 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 419/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2197 - mean_squared_error: 0.2197 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 420/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2195 - mean_squared_error: 0.2195 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 421/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2200 - mean_squared_error: 0.2200 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 422/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2193 - mean_squared_error: 0.2193 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 423/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2197 - mean_squared_error: 0.2197 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 424/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2197 - mean_squared_error: 0.2197 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 425/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2195 - mean_squared_error: 0.2195 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 426/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2194 - mean_squared_error: 0.2194 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 427/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2195 - mean_squared_error: 0.2195 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 428/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2193 - mean_squared_error: 0.2193 - val_loss: 0.3180 - val_mean_squared_error: 0.3180 Epoch 429/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2193 - mean_squared_error: 0.2193 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 430/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2194 - mean_squared_error: 0.2194 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 431/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2192 - mean_squared_error: 0.2192 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 432/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2190 - mean_squared_error: 0.2190 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 433/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2190 - mean_squared_error: 0.2190 - val_loss: 0.3182 - val_mean_squared_error: 0.3182 Epoch 434/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2193 - mean_squared_error: 0.2193 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 435/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2194 - mean_squared_error: 0.2194 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 436/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2192 - mean_squared_error: 0.2192 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 437/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2188 - mean_squared_error: 0.2188 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 438/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2190 - mean_squared_error: 0.2190 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 439/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2186 - mean_squared_error: 0.2186 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 440/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2188 - mean_squared_error: 0.2188 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 441/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2187 - mean_squared_error: 0.2187 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 442/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2185 - mean_squared_error: 0.2185 - val_loss: 0.3181 - val_mean_squared_error: 0.3181 Epoch 443/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2186 - mean_squared_error: 0.2186 - val_loss: 0.3170 - val_mean_squared_error: 0.3170 Epoch 444/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2186 - mean_squared_error: 0.2186 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 445/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2185 - mean_squared_error: 0.2185 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 446/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2186 - mean_squared_error: 0.2186 - val_loss: 0.3175 - val_mean_squared_error: 0.3175 Epoch 447/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2183 - mean_squared_error: 0.2183 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 448/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2182 - mean_squared_error: 0.2182 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 449/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2186 - mean_squared_error: 0.2186 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 450/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2185 - mean_squared_error: 0.2185 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 451/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2182 - mean_squared_error: 0.2182 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 452/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2182 - mean_squared_error: 0.2182 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 453/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2181 - mean_squared_error: 0.2181 - val_loss: 0.3169 - val_mean_squared_error: 0.3169 Epoch 454/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2182 - mean_squared_error: 0.2182 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 455/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2188 - mean_squared_error: 0.2188 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 456/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2181 - mean_squared_error: 0.2181 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 457/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2184 - mean_squared_error: 0.2184 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 458/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2179 - mean_squared_error: 0.2179 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 459/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2179 - mean_squared_error: 0.2179 - val_loss: 0.3170 - val_mean_squared_error: 0.3170 Epoch 460/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2178 - mean_squared_error: 0.2178 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 461/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2177 - mean_squared_error: 0.2177 - val_loss: 0.3167 - val_mean_squared_error: 0.3167 Epoch 462/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2178 - mean_squared_error: 0.2178 - val_loss: 0.3175 - val_mean_squared_error: 0.3175 Epoch 463/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2176 - mean_squared_error: 0.2176 - val_loss: 0.3175 - val_mean_squared_error: 0.3175 Epoch 464/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2177 - mean_squared_error: 0.2177 - val_loss: 0.3170 - val_mean_squared_error: 0.3170 Epoch 465/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2176 - mean_squared_error: 0.2176 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 466/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2176 - mean_squared_error: 0.2176 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 467/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2176 - mean_squared_error: 0.2176 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 468/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2178 - mean_squared_error: 0.2178 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 469/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2180 - mean_squared_error: 0.2180 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 470/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2180 - mean_squared_error: 0.2180 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 471/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2178 - mean_squared_error: 0.2178 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 472/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2174 - mean_squared_error: 0.2174 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 473/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2174 - mean_squared_error: 0.2174 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 474/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2174 - mean_squared_error: 0.2174 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 475/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2172 - mean_squared_error: 0.2172 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 476/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2175 - mean_squared_error: 0.2175 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 477/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2174 - mean_squared_error: 0.2174 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 478/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2173 - mean_squared_error: 0.2173 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 479/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2176 - mean_squared_error: 0.2176 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 480/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2173 - mean_squared_error: 0.2173 - val_loss: 0.3166 - val_mean_squared_error: 0.3166 Epoch 481/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2172 - mean_squared_error: 0.2172 - val_loss: 0.3185 - val_mean_squared_error: 0.3185 Epoch 482/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2171 - mean_squared_error: 0.2171 - val_loss: 0.3180 - val_mean_squared_error: 0.3180 Epoch 483/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2170 - mean_squared_error: 0.2170 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 484/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2172 - mean_squared_error: 0.2172 - val_loss: 0.3167 - val_mean_squared_error: 0.3167 Epoch 485/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2167 - mean_squared_error: 0.2167 - val_loss: 0.3178 - val_mean_squared_error: 0.3178 Epoch 486/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2173 - mean_squared_error: 0.2173 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 487/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2166 - mean_squared_error: 0.2166 - val_loss: 0.3184 - val_mean_squared_error: 0.3184 Epoch 488/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2168 - mean_squared_error: 0.2168 - val_loss: 0.3177 - val_mean_squared_error: 0.3177 Epoch 489/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2169 - mean_squared_error: 0.2169 - val_loss: 0.3179 - val_mean_squared_error: 0.3179 Epoch 490/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2170 - mean_squared_error: 0.2170 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 491/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2166 - mean_squared_error: 0.2166 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 492/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2168 - mean_squared_error: 0.2168 - val_loss: 0.3167 - val_mean_squared_error: 0.3167 Epoch 493/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2165 - mean_squared_error: 0.2165 - val_loss: 0.3172 - val_mean_squared_error: 0.3172 Epoch 494/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2167 - mean_squared_error: 0.2167 - val_loss: 0.3176 - val_mean_squared_error: 0.3176 Epoch 495/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2169 - mean_squared_error: 0.2169 - val_loss: 0.3173 - val_mean_squared_error: 0.3173 Epoch 496/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2167 - mean_squared_error: 0.2167 - val_loss: 0.3174 - val_mean_squared_error: 0.3174 Epoch 497/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2164 - mean_squared_error: 0.2164 - val_loss: 0.3171 - val_mean_squared_error: 0.3171 Epoch 498/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2162 - mean_squared_error: 0.2162 - val_loss: 0.3168 - val_mean_squared_error: 0.3168 Epoch 499/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2168 - mean_squared_error: 0.2168 - val_loss: 0.3169 - val_mean_squared_error: 0.3169 Epoch 500/500 76/76 [==============================] - 0s 2ms/step - loss: 0.2164 - mean_squared_error: 0.2164 - val_loss: 0.3173 - val_mean_squared_error: 0.3173
<tensorflow.python.keras.callbacks.History at 0x2957a7aa5b0>
pred_1 = model6.predict(X_test)
pred5 = pd.Series([8 if round(i[0])==9 else round(i[0]) for i in pred_1 ])
mean_absolute_error(y_test,pred5)
0.32560386473429953
pred5 = pd.Series([8 if round(i[0])==9 else round(i[0]) for i in pred_1 ])
mean_absolute_error(y_test,pred5)
0.32560386473429953
pred5.unique()
array([7, 8, 5, 4, 3, 6], dtype=int64)
y_test.unique()
array([7, 8, 4, 5, 6, 3], dtype=int64)
notify()
X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.3, random_state=11)
Relu = tf.keras.layers.ReLU
ES = EarlyStopping(monitor='mean_absolute_error',mode='min',verbose=1,patience=35)
model5 = Sequential()
model5.add(Dense(20,input_shape=(11,)))
model5.add(BatchNormalization())
model5.add(Relu())
model5.add(Dense(10))
model5.add(BatchNormalization())
model5.add(Relu())
model5.add(Dense(5))
model5.add(BatchNormalization())
model5.add(Relu())
model5.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=0.05, decay=1e-7)
model5.compile(optimizer=adam,metrics='mean_absolute_error',loss='mean_absolute_error')
model5.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
Epoch 1/500 76/76 [==============================] - 2s 6ms/step - loss: 1.6976 - mean_absolute_error: 1.6976 - val_loss: 1.9715 - val_mean_absolute_error: 1.9715 Epoch 2/500 76/76 [==============================] - 0s 2ms/step - loss: 0.8182 - mean_absolute_error: 0.8182 - val_loss: 2.0514 - val_mean_absolute_error: 2.0514 Epoch 3/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7954 - mean_absolute_error: 0.7954 - val_loss: 2.5509 - val_mean_absolute_error: 2.5509 Epoch 4/500 76/76 [==============================] - 0s 3ms/step - loss: 0.7511 - mean_absolute_error: 0.7511 - val_loss: 2.7470 - val_mean_absolute_error: 2.7470 Epoch 5/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7944 - mean_absolute_error: 0.7944 - val_loss: 2.3386 - val_mean_absolute_error: 2.3386 Epoch 6/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7421 - mean_absolute_error: 0.7421 - val_loss: 0.6991 - val_mean_absolute_error: 0.6991 Epoch 7/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7013 - mean_absolute_error: 0.7013 - val_loss: 0.9358 - val_mean_absolute_error: 0.9358 Epoch 8/500 76/76 [==============================] - 0s 3ms/step - loss: 0.6929 - mean_absolute_error: 0.6929 - val_loss: 1.3300 - val_mean_absolute_error: 1.3300 Epoch 9/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6964 - mean_absolute_error: 0.6964 - val_loss: 0.6999 - val_mean_absolute_error: 0.6999 Epoch 10/500 76/76 [==============================] - 0s 3ms/step - loss: 0.6845 - mean_absolute_error: 0.6845 - val_loss: 0.7259 - val_mean_absolute_error: 0.7259 Epoch 11/500 76/76 [==============================] - 0s 3ms/step - loss: 0.7180 - mean_absolute_error: 0.7180 - val_loss: 0.7044 - val_mean_absolute_error: 0.7044 Epoch 12/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7048 - mean_absolute_error: 0.7048 - val_loss: 0.8369 - val_mean_absolute_error: 0.8369 Epoch 13/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6800 - mean_absolute_error: 0.6800 - val_loss: 0.6095 - val_mean_absolute_error: 0.6095 Epoch 14/500 76/76 [==============================] - 0s 2ms/step - loss: 0.7011 - mean_absolute_error: 0.7011 - val_loss: 0.7435 - val_mean_absolute_error: 0.7435 Epoch 15/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6563 - mean_absolute_error: 0.6563 - val_loss: 0.9931 - val_mean_absolute_error: 0.9931 Epoch 16/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6855 - mean_absolute_error: 0.6855 - val_loss: 0.9972 - val_mean_absolute_error: 0.9972 Epoch 17/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6586 - mean_absolute_error: 0.6586 - val_loss: 0.9023 - val_mean_absolute_error: 0.9023 Epoch 18/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6644 - mean_absolute_error: 0.6644 - val_loss: 0.6813 - val_mean_absolute_error: 0.6813 Epoch 19/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6650 - mean_absolute_error: 0.6650 - val_loss: 0.5902 - val_mean_absolute_error: 0.5902 Epoch 20/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6636 - mean_absolute_error: 0.6636 - val_loss: 0.6400 - val_mean_absolute_error: 0.6400 Epoch 21/500 76/76 [==============================] - 0s 3ms/step - loss: 0.6544 - mean_absolute_error: 0.6544 - val_loss: 0.6122 - val_mean_absolute_error: 0.6122 Epoch 22/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6596 - mean_absolute_error: 0.6596 - val_loss: 0.6227 - val_mean_absolute_error: 0.6227 Epoch 23/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6283 - mean_absolute_error: 0.6283 - val_loss: 0.6641 - val_mean_absolute_error: 0.6641 Epoch 24/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6483 - mean_absolute_error: 0.6483 - val_loss: 0.8684 - val_mean_absolute_error: 0.8684 Epoch 25/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6323 - mean_absolute_error: 0.6323 - val_loss: 0.8534 - val_mean_absolute_error: 0.8534 Epoch 26/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6501 - mean_absolute_error: 0.6501 - val_loss: 0.7473 - val_mean_absolute_error: 0.7473 Epoch 27/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6585 - mean_absolute_error: 0.6585 - val_loss: 0.5583 - val_mean_absolute_error: 0.5583 Epoch 28/500 76/76 [==============================] - 0s 3ms/step - loss: 0.6152 - mean_absolute_error: 0.6152 - val_loss: 0.5190 - val_mean_absolute_error: 0.5190 Epoch 29/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6100 - mean_absolute_error: 0.6100 - val_loss: 0.6358 - val_mean_absolute_error: 0.6358 Epoch 30/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6478 - mean_absolute_error: 0.6478 - val_loss: 0.7903 - val_mean_absolute_error: 0.7903 Epoch 31/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6406 - mean_absolute_error: 0.6406 - val_loss: 0.6015 - val_mean_absolute_error: 0.6015 Epoch 32/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6463 - mean_absolute_error: 0.6463 - val_loss: 0.9618 - val_mean_absolute_error: 0.9618 Epoch 33/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6209 - mean_absolute_error: 0.6209 - val_loss: 1.3118 - val_mean_absolute_error: 1.3118 Epoch 34/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6134 - mean_absolute_error: 0.6134 - val_loss: 0.5682 - val_mean_absolute_error: 0.5682 Epoch 35/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6268 - mean_absolute_error: 0.6268 - val_loss: 0.6716 - val_mean_absolute_error: 0.6716 Epoch 36/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6319 - mean_absolute_error: 0.6319 - val_loss: 0.5573 - val_mean_absolute_error: 0.5573 Epoch 37/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6443 - mean_absolute_error: 0.6443 - val_loss: 0.6750 - val_mean_absolute_error: 0.6750 Epoch 38/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6004 - mean_absolute_error: 0.6004 - val_loss: 0.6080 - val_mean_absolute_error: 0.6080 Epoch 39/500 76/76 [==============================] - 0s 6ms/step - loss: 0.6154 - mean_absolute_error: 0.6154 - val_loss: 0.6495 - val_mean_absolute_error: 0.6495 Epoch 40/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6130 - mean_absolute_error: 0.6130 - val_loss: 0.6959 - val_mean_absolute_error: 0.6959 Epoch 41/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6190 - mean_absolute_error: 0.6190 - val_loss: 0.6070 - val_mean_absolute_error: 0.6070 Epoch 42/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6030 - mean_absolute_error: 0.6030 - val_loss: 0.6161 - val_mean_absolute_error: 0.6161 Epoch 43/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6006 - mean_absolute_error: 0.6006 - val_loss: 0.5672 - val_mean_absolute_error: 0.5672 Epoch 44/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6335 - mean_absolute_error: 0.6335 - val_loss: 0.5815 - val_mean_absolute_error: 0.5815 Epoch 45/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5971 - mean_absolute_error: 0.5971 - val_loss: 0.7428 - val_mean_absolute_error: 0.7428 Epoch 46/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6242 - mean_absolute_error: 0.6242 - val_loss: 0.5950 - val_mean_absolute_error: 0.5950 Epoch 47/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5803 - mean_absolute_error: 0.5803 - val_loss: 0.5306 - val_mean_absolute_error: 0.5306 Epoch 48/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5858 - mean_absolute_error: 0.5858 - val_loss: 0.8000 - val_mean_absolute_error: 0.8000 Epoch 49/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5811 - mean_absolute_error: 0.5811 - val_loss: 0.6156 - val_mean_absolute_error: 0.6156 Epoch 50/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6186 - mean_absolute_error: 0.6186 - val_loss: 0.5619 - val_mean_absolute_error: 0.5619 Epoch 51/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6215 - mean_absolute_error: 0.6215 - val_loss: 0.6360 - val_mean_absolute_error: 0.6360 Epoch 52/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5877 - mean_absolute_error: 0.5877 - val_loss: 0.7362 - val_mean_absolute_error: 0.7362 Epoch 53/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5969 - mean_absolute_error: 0.5969 - val_loss: 0.8078 - val_mean_absolute_error: 0.8078 Epoch 54/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6015 - mean_absolute_error: 0.6015 - val_loss: 0.5805 - val_mean_absolute_error: 0.5805 Epoch 55/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5900 - mean_absolute_error: 0.5900 - val_loss: 0.6307 - val_mean_absolute_error: 0.6307 Epoch 56/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5997 - mean_absolute_error: 0.5997 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 57/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5829 - mean_absolute_error: 0.5829 - val_loss: 0.5157 - val_mean_absolute_error: 0.5157 Epoch 58/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6172 - mean_absolute_error: 0.6172 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 59/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5937 - mean_absolute_error: 0.5937 - val_loss: 0.7083 - val_mean_absolute_error: 0.7083 Epoch 60/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5818 - mean_absolute_error: 0.5818 - val_loss: 0.5981 - val_mean_absolute_error: 0.5981 Epoch 61/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5624 - mean_absolute_error: 0.5624 - val_loss: 0.7952 - val_mean_absolute_error: 0.7952 Epoch 62/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5944 - mean_absolute_error: 0.5944 - val_loss: 0.8891 - val_mean_absolute_error: 0.8891 Epoch 63/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5827 - mean_absolute_error: 0.5827 - val_loss: 0.5342 - val_mean_absolute_error: 0.5342 Epoch 64/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5577 - mean_absolute_error: 0.5577 - val_loss: 0.4965 - val_mean_absolute_error: 0.4965 Epoch 65/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5935 - mean_absolute_error: 0.5935 - val_loss: 0.6574 - val_mean_absolute_error: 0.6574 Epoch 66/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5810 - mean_absolute_error: 0.5810 - val_loss: 0.5560 - val_mean_absolute_error: 0.5560 Epoch 67/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5877 - mean_absolute_error: 0.5877 - val_loss: 0.6244 - val_mean_absolute_error: 0.6244 Epoch 68/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5698 - mean_absolute_error: 0.5698 - val_loss: 0.6070 - val_mean_absolute_error: 0.6070 Epoch 69/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5997 - mean_absolute_error: 0.5997 - val_loss: 0.5533 - val_mean_absolute_error: 0.5533 Epoch 70/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5725 - mean_absolute_error: 0.5725 - val_loss: 0.5441 - val_mean_absolute_error: 0.5441 Epoch 71/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5747 - mean_absolute_error: 0.5747 - val_loss: 0.6644 - val_mean_absolute_error: 0.6644 Epoch 72/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5785 - mean_absolute_error: 0.5785 - val_loss: 0.5387 - val_mean_absolute_error: 0.5387 Epoch 73/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5685 - mean_absolute_error: 0.5685 - val_loss: 0.8661 - val_mean_absolute_error: 0.8661 Epoch 74/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5835 - mean_absolute_error: 0.5835 - val_loss: 0.7731 - val_mean_absolute_error: 0.7731 Epoch 75/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5875 - mean_absolute_error: 0.5875 - val_loss: 0.5791 - val_mean_absolute_error: 0.5791 Epoch 76/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5815 - mean_absolute_error: 0.5815 - val_loss: 0.4865 - val_mean_absolute_error: 0.4865 Epoch 77/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5712 - mean_absolute_error: 0.5712 - val_loss: 0.9735 - val_mean_absolute_error: 0.9735 Epoch 78/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5955 - mean_absolute_error: 0.5955 - val_loss: 0.8010 - val_mean_absolute_error: 0.8010 Epoch 79/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5807 - mean_absolute_error: 0.5807 - val_loss: 0.4901 - val_mean_absolute_error: 0.4901 Epoch 80/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5654 - mean_absolute_error: 0.5654 - val_loss: 0.6065 - val_mean_absolute_error: 0.6065 Epoch 81/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5586 - mean_absolute_error: 0.5586 - val_loss: 0.4899 - val_mean_absolute_error: 0.4899 Epoch 82/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5653 - mean_absolute_error: 0.5653 - val_loss: 0.5665 - val_mean_absolute_error: 0.5665 Epoch 83/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5673 - mean_absolute_error: 0.5673 - val_loss: 0.5521 - val_mean_absolute_error: 0.5521 Epoch 84/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5609 - mean_absolute_error: 0.5609 - val_loss: 0.5112 - val_mean_absolute_error: 0.5112 Epoch 85/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5823 - mean_absolute_error: 0.5823 - val_loss: 0.5285 - val_mean_absolute_error: 0.5285 Epoch 86/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5880 - mean_absolute_error: 0.5880 - val_loss: 0.5273 - val_mean_absolute_error: 0.5273 Epoch 87/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5570 - mean_absolute_error: 0.5570 - val_loss: 0.4757 - val_mean_absolute_error: 0.4757 Epoch 88/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5648 - mean_absolute_error: 0.5648 - val_loss: 0.5558 - val_mean_absolute_error: 0.5558 Epoch 89/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5628 - mean_absolute_error: 0.5628 - val_loss: 0.7490 - val_mean_absolute_error: 0.7490 Epoch 90/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5773 - mean_absolute_error: 0.5773 - val_loss: 0.6274 - val_mean_absolute_error: 0.6274 Epoch 91/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5718 - mean_absolute_error: 0.5718 - val_loss: 0.5249 - val_mean_absolute_error: 0.5249 Epoch 92/500 76/76 [==============================] - 0s 2ms/step - loss: 0.6124 - mean_absolute_error: 0.6124 - val_loss: 0.6106 - val_mean_absolute_error: 0.6106 Epoch 93/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5422 - mean_absolute_error: 0.5422 - val_loss: 0.6294 - val_mean_absolute_error: 0.6294 Epoch 94/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5742 - mean_absolute_error: 0.5742 - val_loss: 0.5389 - val_mean_absolute_error: 0.5389 Epoch 95/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5547 - mean_absolute_error: 0.5547 - val_loss: 0.6259 - val_mean_absolute_error: 0.6259 Epoch 96/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5339 - mean_absolute_error: 0.5339 - val_loss: 0.5298 - val_mean_absolute_error: 0.5298 Epoch 97/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5401 - mean_absolute_error: 0.5401 - val_loss: 0.5576 - val_mean_absolute_error: 0.5576 Epoch 98/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5693 - mean_absolute_error: 0.5693 - val_loss: 0.5496 - val_mean_absolute_error: 0.5496 Epoch 99/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5640 - mean_absolute_error: 0.5640 - val_loss: 0.6707 - val_mean_absolute_error: 0.6707 Epoch 100/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5674 - mean_absolute_error: 0.5674 - val_loss: 0.6662 - val_mean_absolute_error: 0.6662 Epoch 101/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5494 - mean_absolute_error: 0.5494 - val_loss: 0.5677 - val_mean_absolute_error: 0.5677 Epoch 102/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5614 - mean_absolute_error: 0.5614 - val_loss: 0.5560 - val_mean_absolute_error: 0.5560 Epoch 103/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5598 - mean_absolute_error: 0.5598 - val_loss: 0.7024 - val_mean_absolute_error: 0.7024 Epoch 104/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5617 - mean_absolute_error: 0.5617 - val_loss: 0.5474 - val_mean_absolute_error: 0.5474 Epoch 105/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5269 - mean_absolute_error: 0.5269 - val_loss: 0.4952 - val_mean_absolute_error: 0.4952 Epoch 106/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5425 - mean_absolute_error: 0.5425 - val_loss: 0.5380 - val_mean_absolute_error: 0.5380 Epoch 107/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.6012 - val_mean_absolute_error: 0.6012 Epoch 108/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5449 - mean_absolute_error: 0.5449 - val_loss: 0.6084 - val_mean_absolute_error: 0.6084 Epoch 109/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5422 - mean_absolute_error: 0.5422 - val_loss: 0.4394 - val_mean_absolute_error: 0.4394 Epoch 110/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5386 - mean_absolute_error: 0.5386 - val_loss: 0.4688 - val_mean_absolute_error: 0.4688 Epoch 111/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5713 - mean_absolute_error: 0.5713 - val_loss: 0.5289 - val_mean_absolute_error: 0.5289 Epoch 112/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5674 - mean_absolute_error: 0.5674 - val_loss: 0.6135 - val_mean_absolute_error: 0.6135 Epoch 113/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5487 - mean_absolute_error: 0.5487 - val_loss: 0.4835 - val_mean_absolute_error: 0.4835 Epoch 114/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5545 - mean_absolute_error: 0.5545 - val_loss: 0.4642 - val_mean_absolute_error: 0.4642 Epoch 115/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5235 - mean_absolute_error: 0.5235 - val_loss: 0.4745 - val_mean_absolute_error: 0.4745 Epoch 116/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5407 - mean_absolute_error: 0.5407 - val_loss: 0.5392 - val_mean_absolute_error: 0.5392 Epoch 117/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5742 - mean_absolute_error: 0.5742 - val_loss: 0.4923 - val_mean_absolute_error: 0.4923 Epoch 118/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5410 - mean_absolute_error: 0.5410 - val_loss: 0.6426 - val_mean_absolute_error: 0.6426 Epoch 119/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5807 - mean_absolute_error: 0.5807 - val_loss: 0.5463 - val_mean_absolute_error: 0.5463 Epoch 120/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5598 - mean_absolute_error: 0.5598 - val_loss: 0.5954 - val_mean_absolute_error: 0.5954 Epoch 121/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5398 - mean_absolute_error: 0.5398 - val_loss: 0.4770 - val_mean_absolute_error: 0.4770 Epoch 122/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5313 - mean_absolute_error: 0.5313 - val_loss: 0.4916 - val_mean_absolute_error: 0.4916 Epoch 123/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5432 - mean_absolute_error: 0.5432 - val_loss: 0.5675 - val_mean_absolute_error: 0.5675 Epoch 124/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5475 - mean_absolute_error: 0.5475 - val_loss: 0.5069 - val_mean_absolute_error: 0.5069 Epoch 125/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5490 - mean_absolute_error: 0.5490 - val_loss: 0.5068 - val_mean_absolute_error: 0.5068 Epoch 126/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5342 - mean_absolute_error: 0.5342 - val_loss: 0.7351 - val_mean_absolute_error: 0.7351 Epoch 127/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5364 - mean_absolute_error: 0.5364 - val_loss: 0.5843 - val_mean_absolute_error: 0.5843 Epoch 128/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5662 - mean_absolute_error: 0.5662 - val_loss: 0.5407 - val_mean_absolute_error: 0.5407 Epoch 129/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5445 - mean_absolute_error: 0.5445 - val_loss: 0.4740 - val_mean_absolute_error: 0.4740 Epoch 130/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5231 - mean_absolute_error: 0.5231 - val_loss: 0.5488 - val_mean_absolute_error: 0.5488 Epoch 131/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5391 - mean_absolute_error: 0.5391 - val_loss: 0.5424 - val_mean_absolute_error: 0.5424 Epoch 132/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5338 - mean_absolute_error: 0.5338 - val_loss: 0.4949 - val_mean_absolute_error: 0.4949 Epoch 133/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5694 - mean_absolute_error: 0.5694 - val_loss: 0.6590 - val_mean_absolute_error: 0.6590 Epoch 134/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5495 - mean_absolute_error: 0.5495 - val_loss: 0.4811 - val_mean_absolute_error: 0.4811 Epoch 135/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5374 - mean_absolute_error: 0.5374 - val_loss: 0.4880 - val_mean_absolute_error: 0.4880 Epoch 136/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5453 - mean_absolute_error: 0.5453 - val_loss: 0.4898 - val_mean_absolute_error: 0.4898 Epoch 137/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5389 - mean_absolute_error: 0.5389 - val_loss: 0.4587 - val_mean_absolute_error: 0.4587 Epoch 138/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5735 - mean_absolute_error: 0.5735 - val_loss: 0.4825 - val_mean_absolute_error: 0.4825 Epoch 139/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5305 - mean_absolute_error: 0.5305 - val_loss: 0.4717 - val_mean_absolute_error: 0.4717 Epoch 140/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5245 - mean_absolute_error: 0.5245 - val_loss: 0.4931 - val_mean_absolute_error: 0.4931 Epoch 141/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5342 - mean_absolute_error: 0.5342 - val_loss: 0.4879 - val_mean_absolute_error: 0.4879 Epoch 142/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5341 - mean_absolute_error: 0.5341 - val_loss: 0.5221 - val_mean_absolute_error: 0.5221 Epoch 143/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5369 - mean_absolute_error: 0.5369 - val_loss: 0.5817 - val_mean_absolute_error: 0.5817 Epoch 144/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5459 - mean_absolute_error: 0.5459 - val_loss: 0.5465 - val_mean_absolute_error: 0.5465 Epoch 145/500 76/76 [==============================] - ETA: 0s - loss: 0.5331 - mean_absolute_error: 0.533 - 0s 2ms/step - loss: 0.5340 - mean_absolute_error: 0.5340 - val_loss: 0.4683 - val_mean_absolute_error: 0.4683 Epoch 146/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5353 - mean_absolute_error: 0.5353 - val_loss: 0.5133 - val_mean_absolute_error: 0.5133 Epoch 147/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5418 - mean_absolute_error: 0.5418 - val_loss: 0.4697 - val_mean_absolute_error: 0.4697 Epoch 148/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5550 - mean_absolute_error: 0.5550 - val_loss: 0.5281 - val_mean_absolute_error: 0.5281 Epoch 149/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5578 - mean_absolute_error: 0.5578 - val_loss: 0.6911 - val_mean_absolute_error: 0.6911 Epoch 150/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5658 - mean_absolute_error: 0.5658 - val_loss: 0.5612 - val_mean_absolute_error: 0.5612 Epoch 151/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5511 - mean_absolute_error: 0.5511 - val_loss: 0.4502 - val_mean_absolute_error: 0.4502 Epoch 152/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5533 - mean_absolute_error: 0.5533 - val_loss: 0.6680 - val_mean_absolute_error: 0.6680 Epoch 153/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5489 - mean_absolute_error: 0.5489 - val_loss: 0.5297 - val_mean_absolute_error: 0.5297 Epoch 154/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5355 - mean_absolute_error: 0.5355 - val_loss: 0.5401 - val_mean_absolute_error: 0.5401 Epoch 155/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5476 - mean_absolute_error: 0.5476 - val_loss: 0.5279 - val_mean_absolute_error: 0.5279 Epoch 156/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5302 - mean_absolute_error: 0.5302 - val_loss: 0.4679 - val_mean_absolute_error: 0.4679 Epoch 157/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5414 - mean_absolute_error: 0.5414 - val_loss: 0.4694 - val_mean_absolute_error: 0.4694 Epoch 158/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5483 - mean_absolute_error: 0.5483 - val_loss: 0.5326 - val_mean_absolute_error: 0.5326 Epoch 159/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5291 - mean_absolute_error: 0.5291 - val_loss: 0.5307 - val_mean_absolute_error: 0.5307 Epoch 160/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5615 - mean_absolute_error: 0.5615 - val_loss: 0.5772 - val_mean_absolute_error: 0.5772 Epoch 161/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5499 - mean_absolute_error: 0.5499 - val_loss: 0.4919 - val_mean_absolute_error: 0.4919 Epoch 162/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5613 - mean_absolute_error: 0.5613 - val_loss: 0.5660 - val_mean_absolute_error: 0.5660 Epoch 163/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5283 - mean_absolute_error: 0.5283 - val_loss: 0.6330 - val_mean_absolute_error: 0.6330 Epoch 164/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5715 - mean_absolute_error: 0.5715 - val_loss: 0.6564 - val_mean_absolute_error: 0.6564 Epoch 165/500 76/76 [==============================] - 0s 2ms/step - loss: 0.5428 - mean_absolute_error: 0.5428 - val_loss: 0.5359 - val_mean_absolute_error: 0.5359 Epoch 00165: early stopping
<tensorflow.python.keras.callbacks.History at 0x2957a9de8e0>
pred55 = model5.predict(X_test)
pred55 = pd.Series([8 if round(i[0])==9 else round(i[0]) for i in pred55 ])
mean_absolute_error(y_test,pred55)
0.48695652173913045
pred55.unique()
array([6, 8, 5, 3, 4, 7], dtype=int64)
y_test.unique()
array([7, 8, 4, 5, 6, 3], dtype=int64)
model6.save('NN_regressor.h5')
model_pickled = load_model( 'NN_regressor.h5' )
model_pickled.summary()
Model: "sequential_280" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1399 (Dense) (None, 20) 240 _________________________________________________________________ dense_1400 (Dense) (None, 10) 210 _________________________________________________________________ dense_1401 (Dense) (None, 5) 55 _________________________________________________________________ dense_1402 (Dense) (None, 3) 18 _________________________________________________________________ dense_1403 (Dense) (None, 1) 4 ================================================================= Total params: 527 Trainable params: 527 Non-trainable params: 0 _________________________________________________________________
df = pd.read_csv('Part- 1,2&3 - Signal (3).csv')
df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1599 entries, 0 to 1598 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Parameter 1 1599 non-null float64 1 Parameter 2 1599 non-null float64 2 Parameter 3 1599 non-null float64 3 Parameter 4 1599 non-null float64 4 Parameter 5 1599 non-null float64 5 Parameter 6 1599 non-null float64 6 Parameter 7 1599 non-null float64 7 Parameter 8 1599 non-null float64 8 Parameter 9 1599 non-null float64 9 Parameter 10 1599 non-null float64 10 Parameter 11 1599 non-null float64 11 Signal_Strength 1599 non-null int64 dtypes: float64(11), int64(1) memory usage: 150.0 KB
df.corr()['Signal_Strength'].sort_values(ascending=False)
# Parameter 4,Parameter 6 and Parameter 9 does not correlate much with the Targe "Signal_strength"
Signal_Strength 1.000000 Parameter 11 0.476166 Parameter 10 0.251397 Parameter 3 0.226373 Parameter 1 0.124052 Parameter 4 0.013732 Parameter 6 -0.050656 Parameter 9 -0.057731 Parameter 5 -0.128907 Parameter 8 -0.174919 Parameter 7 -0.185100 Parameter 2 -0.390558 Name: Signal_Strength, dtype: float64
plt.figure(figsize=(12,8))
plt.grid()
sns.distplot(df['Parameter 1'])
<AxesSubplot:xlabel='Parameter 1', ylabel='Density'>
# Ho = "The column is not normally distributed"
# Ha = "The column is normally distributed"
stat,Pvalue = shapiro(df['Parameter 1'])
if Pvalue<0.5:
print(f"We reject null hypothesis as pvalue is {round(Pvalue)} and the data is normally distributed")
else:
print("We fail to reject null hypothesis")
We reject null hypothesis as pvalue is 0 and the data is normally distributed
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df['Signal_Strength'],df['Parameter 1'])
#We see a very mild connection between target and parameter 1
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 1'>
# Ho = "There is no connect between Parameter 1 and target"
# Ha = "There is a connect between Parameter 1 and target"
stat,Pvalue = f_oneway(df[df['Signal_Strength']==3]['Parameter 1'],df[df['Signal_Strength']==4]['Parameter 1'],df[df['Signal_Strength']==5]['Parameter 1'],df[df['Signal_Strength']==6]['Parameter 1'],df[df['Signal_Strength']==7]['Parameter 1'],df[df['Signal_Strength']==8]['Parameter 1'])
if Pvalue<0.5:
print(f"We reject null hypothesis as pvalue is {round(Pvalue)} and there is a connect between Parameter 1 and target")
else:
print("We fail to reject null hypothesis")
We reject null hypothesis as pvalue is 0 and there is a connect between Parameter 1 and target
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 1'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 1'>
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 1'],df['Parameter 9'],hue=df['Signal_Strength'],palette='deep')
<AxesSubplot:xlabel='Parameter 1', ylabel='Parameter 9'>
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 1'],df['Parameter 3'],hue=df['Signal_Strength'],palette='muted')
<AxesSubplot:xlabel='Parameter 1', ylabel='Parameter 3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.distplot(df['Parameter 2'])
<AxesSubplot:xlabel='Parameter 2', ylabel='Density'>
plt.figure(figsize=(12,8))
plt.grid()
sns.boxplot(df['Parameter 2'])
<AxesSubplot:xlabel='Parameter 2'>
df.corr()['Parameter 2'].sort_values(ascending=False)
Parameter 2 1.000000 Parameter 9 0.234937 Parameter 7 0.076470 Parameter 5 0.061298 Parameter 8 0.022026 Parameter 4 0.001918 Parameter 6 -0.010504 Parameter 11 -0.202288 Parameter 1 -0.256131 Parameter 10 -0.260987 Signal_Strength -0.390558 Parameter 3 -0.552496 Name: Parameter 2, dtype: float64
plt.figure(figsize=(12,8))
plt.grid()
sns.scatterplot(df['Parameter 2'],df['Parameter 3'],hue=df['Signal_Strength'],palette='dark')
<AxesSubplot:xlabel='Parameter 2', ylabel='Parameter 3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 2'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 2'>
plt.figure(figsize=(12,8))
plt.grid()
sns.lineplot(df['Signal_Strength'],df['Parameter 3'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Parameter 3'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature3'],palette='dark')
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature3'>
df.corr()['Signal_Strength'].sort_values(ascending=False)
Signal_Strength 1.000000 Parameter 11 0.476166 Parameter 10 0.251397 Parameter 3 0.226373 Parameter 1 0.124052 Parameter 4 0.013732 Parameter 6 -0.050656 Parameter 9 -0.057731 Parameter 5 -0.128907 Parameter 8 -0.174919 Parameter 7 -0.185100 Parameter 2 -0.390558 Name: Signal_Strength, dtype: float64
df.head()
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 4 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
| 1 | 7.8 | 0.88 | 0.00 | 2.6 | 0.098 | 25.0 | 67.0 | 0.9968 | 3.20 | 0.68 | 9.8 | 5 |
| 2 | 7.8 | 0.76 | 0.04 | 2.3 | 0.092 | 15.0 | 54.0 | 0.9970 | 3.26 | 0.65 | 9.8 | 5 |
| 3 | 11.2 | 0.28 | 0.56 | 1.9 | 0.075 | 17.0 | 60.0 | 0.9980 | 3.16 | 0.58 | 9.8 | 6 |
| 4 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature2'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature2'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature5'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature5'>
plt.figure(figsize=(12,8))
plt.grid()
sns.barplot(df1['Signal_Strength'],df1['Feature4'])
<AxesSubplot:xlabel='Signal_Strength', ylabel='Feature4'>
# Ha = "The Signal_strength is not normally distributed"
# Ho = "The Signal_strength is normally distributed"
statistic,P_value = shapiro(df['Signal_Strength'])
if P_value<0.5:
print("The signal strength is not normally distributed")
else:
print("The signal strength is normally distributed")
df['Signal_Strength'].value_counts()
#We notice that the classes are imbalanced, we try to balance them using SMOTETomek Technique and also
#the total size of data is just 1500 which is not enough for Neural Networks to train and predict
5 681 6 638 7 199 4 53 8 18 3 10 Name: Signal_Strength, dtype: int64
ST = SMOTETomek({4:640,8:640,3:640,7:650,6:700})
df['Signal_Strength'] = df['Signal_Strength'].astype('category')
X_resampled, y_resampled = ST.fit_resample(df.drop('Signal_Strength',axis=1),df['Signal_Strength'])
X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.3, random_state=11)
SS = StandardScaler()
X_train = SS.fit_transform(X_train)
X_test = SS.transform(X_test)
y_train = to_categorical(y_train)
y_test = to_categorical(y_test)
X_resampled.shape
(3743, 11)
y_resampled.value_counts()
#now it looks balanced
3 633 7 629 6 628 4 621 8 619 5 613 Name: Signal_Strength, dtype: int64
y_train = np.array(y_train)
y_test = np.array(y_test)
# y_train = np.array(pd.get_dummies(y_train))
# y_test = np.array(pd.get_dummies(y_test))
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=5)
classifier = Sequential()
classifier.add(Dense(20,input_shape=(11,),activation='relu'))
classifier.add(Dense(15,activation='relu'))
classifier.add(Dense(7,activation='relu'))
classifier.add(Dense(9,activation='softmax'))
adam = optimizers.Adam(lr=0.08, decay=1e-6)
classifier.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
classifier.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=[ES])
Epoch 1/500 82/82 [==============================] - 1s 5ms/step - loss: 2.0780 - accuracy: 0.2573 - val_loss: 1.9284 - val_accuracy: 0.3491 Epoch 2/500 82/82 [==============================] - 0s 2ms/step - loss: 1.7428 - accuracy: 0.3737 - val_loss: 1.5671 - val_accuracy: 0.4007 Epoch 3/500 82/82 [==============================] - 0s 2ms/step - loss: 1.4171 - accuracy: 0.4832 - val_loss: 1.2436 - val_accuracy: 0.5004 Epoch 4/500 82/82 [==============================] - 0s 2ms/step - loss: 1.1436 - accuracy: 0.5210 - val_loss: 1.0730 - val_accuracy: 0.5557 Epoch 5/500 82/82 [==============================] - 0s 2ms/step - loss: 1.0409 - accuracy: 0.5664 - val_loss: 1.0142 - val_accuracy: 0.5877 Epoch 6/500 82/82 [==============================] - 0s 2ms/step - loss: 0.9882 - accuracy: 0.5878 - val_loss: 0.9732 - val_accuracy: 0.6002 Epoch 7/500 82/82 [==============================] - 0s 2ms/step - loss: 0.9499 - accuracy: 0.6023 - val_loss: 0.9411 - val_accuracy: 0.6260 Epoch 8/500 82/82 [==============================] - 0s 2ms/step - loss: 0.9163 - accuracy: 0.6294 - val_loss: 0.9209 - val_accuracy: 0.6269 Epoch 9/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8935 - accuracy: 0.6290 - val_loss: 0.9012 - val_accuracy: 0.6215 Epoch 10/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8697 - accuracy: 0.6363 - val_loss: 0.8764 - val_accuracy: 0.6447 Epoch 11/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8478 - accuracy: 0.6469 - val_loss: 0.8642 - val_accuracy: 0.6563 Epoch 12/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8305 - accuracy: 0.6599 - val_loss: 0.8494 - val_accuracy: 0.6607 Epoch 13/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8152 - accuracy: 0.6679 - val_loss: 0.8340 - val_accuracy: 0.6589 Epoch 14/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8003 - accuracy: 0.6767 - val_loss: 0.8219 - val_accuracy: 0.6643 Epoch 15/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7879 - accuracy: 0.6767 - val_loss: 0.8236 - val_accuracy: 0.6563 Epoch 16/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7762 - accuracy: 0.6802 - val_loss: 0.8005 - val_accuracy: 0.6696 Epoch 17/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7604 - accuracy: 0.6912 - val_loss: 0.7891 - val_accuracy: 0.6821 Epoch 18/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7510 - accuracy: 0.6947 - val_loss: 0.7793 - val_accuracy: 0.6874 Epoch 19/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7383 - accuracy: 0.7095 - val_loss: 0.7758 - val_accuracy: 0.6830 Epoch 20/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7275 - accuracy: 0.7092 - val_loss: 0.7664 - val_accuracy: 0.6830 Epoch 21/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7188 - accuracy: 0.7099 - val_loss: 0.7602 - val_accuracy: 0.6928 Epoch 22/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7107 - accuracy: 0.7149 - val_loss: 0.7519 - val_accuracy: 0.6883 Epoch 23/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7000 - accuracy: 0.7153 - val_loss: 0.7413 - val_accuracy: 0.6883 Epoch 24/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6903 - accuracy: 0.7237 - val_loss: 0.7319 - val_accuracy: 0.7008 Epoch 25/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6852 - accuracy: 0.7252 - val_loss: 0.7298 - val_accuracy: 0.7026 Epoch 26/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6766 - accuracy: 0.7248 - val_loss: 0.7278 - val_accuracy: 0.7017 Epoch 27/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6710 - accuracy: 0.7290 - val_loss: 0.7192 - val_accuracy: 0.7088 Epoch 28/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6640 - accuracy: 0.7302 - val_loss: 0.7193 - val_accuracy: 0.7079 Epoch 29/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6586 - accuracy: 0.7366 - val_loss: 0.7058 - val_accuracy: 0.7177 Epoch 30/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6500 - accuracy: 0.7347 - val_loss: 0.7033 - val_accuracy: 0.7195 Epoch 31/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6462 - accuracy: 0.7408 - val_loss: 0.6958 - val_accuracy: 0.7204 Epoch 32/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6412 - accuracy: 0.7412 - val_loss: 0.6946 - val_accuracy: 0.7177 Epoch 33/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6365 - accuracy: 0.7340 - val_loss: 0.6931 - val_accuracy: 0.7231 Epoch 34/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6286 - accuracy: 0.7401 - val_loss: 0.6860 - val_accuracy: 0.7266 Epoch 35/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6260 - accuracy: 0.7454 - val_loss: 0.6843 - val_accuracy: 0.7231 Epoch 36/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6181 - accuracy: 0.7454 - val_loss: 0.6803 - val_accuracy: 0.7284 Epoch 37/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6123 - accuracy: 0.7477 - val_loss: 0.6785 - val_accuracy: 0.7337 Epoch 38/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6072 - accuracy: 0.7477 - val_loss: 0.6758 - val_accuracy: 0.7177 Epoch 39/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6037 - accuracy: 0.7511 - val_loss: 0.6652 - val_accuracy: 0.7311 Epoch 40/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6010 - accuracy: 0.7511 - val_loss: 0.6644 - val_accuracy: 0.7293 Epoch 41/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5929 - accuracy: 0.7595 - val_loss: 0.6651 - val_accuracy: 0.7213 Epoch 42/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5939 - accuracy: 0.7576 - val_loss: 0.6572 - val_accuracy: 0.7373 Epoch 43/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5883 - accuracy: 0.7550 - val_loss: 0.6570 - val_accuracy: 0.7462 Epoch 44/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5846 - accuracy: 0.7569 - val_loss: 0.6524 - val_accuracy: 0.7444 Epoch 45/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5810 - accuracy: 0.7595 - val_loss: 0.6540 - val_accuracy: 0.7453 Epoch 46/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5778 - accuracy: 0.7599 - val_loss: 0.6568 - val_accuracy: 0.7382 Epoch 47/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5746 - accuracy: 0.7641 - val_loss: 0.6523 - val_accuracy: 0.7427 Epoch 48/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5687 - accuracy: 0.7706 - val_loss: 0.6524 - val_accuracy: 0.7302 Epoch 49/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5680 - accuracy: 0.7679 - val_loss: 0.6487 - val_accuracy: 0.7444 Epoch 50/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5648 - accuracy: 0.7626 - val_loss: 0.6442 - val_accuracy: 0.7524 Epoch 51/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5614 - accuracy: 0.7695 - val_loss: 0.6445 - val_accuracy: 0.7418 Epoch 52/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5566 - accuracy: 0.7744 - val_loss: 0.6432 - val_accuracy: 0.7480 Epoch 53/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5571 - accuracy: 0.7725 - val_loss: 0.6450 - val_accuracy: 0.7462 Epoch 54/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5547 - accuracy: 0.7779 - val_loss: 0.6337 - val_accuracy: 0.7560 Epoch 55/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5521 - accuracy: 0.7813 - val_loss: 0.6363 - val_accuracy: 0.7516 Epoch 56/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5490 - accuracy: 0.7782 - val_loss: 0.6394 - val_accuracy: 0.7533 Epoch 57/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5448 - accuracy: 0.7802 - val_loss: 0.6314 - val_accuracy: 0.7498 Epoch 58/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5431 - accuracy: 0.7802 - val_loss: 0.6314 - val_accuracy: 0.7578 Epoch 59/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5434 - accuracy: 0.7817 - val_loss: 0.6354 - val_accuracy: 0.7560 Epoch 60/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5374 - accuracy: 0.7821 - val_loss: 0.6256 - val_accuracy: 0.7569 Epoch 61/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5367 - accuracy: 0.7866 - val_loss: 0.6237 - val_accuracy: 0.7596 Epoch 62/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5377 - accuracy: 0.7828 - val_loss: 0.6223 - val_accuracy: 0.7596 Epoch 63/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5304 - accuracy: 0.7908 - val_loss: 0.6244 - val_accuracy: 0.7551 Epoch 64/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5288 - accuracy: 0.7844 - val_loss: 0.6197 - val_accuracy: 0.7605 Epoch 65/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5260 - accuracy: 0.7958 - val_loss: 0.6261 - val_accuracy: 0.7596 Epoch 66/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5250 - accuracy: 0.7889 - val_loss: 0.6194 - val_accuracy: 0.7578 Epoch 67/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5243 - accuracy: 0.7954 - val_loss: 0.6257 - val_accuracy: 0.7533 Epoch 68/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5185 - accuracy: 0.7958 - val_loss: 0.6223 - val_accuracy: 0.7507 Epoch 69/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5193 - accuracy: 0.7882 - val_loss: 0.6189 - val_accuracy: 0.7605 Epoch 70/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5170 - accuracy: 0.7969 - val_loss: 0.6120 - val_accuracy: 0.7596 Epoch 71/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5150 - accuracy: 0.7985 - val_loss: 0.6126 - val_accuracy: 0.7622 Epoch 72/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5119 - accuracy: 0.7992 - val_loss: 0.6128 - val_accuracy: 0.7667 Epoch 73/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5116 - accuracy: 0.7962 - val_loss: 0.6111 - val_accuracy: 0.7614 Epoch 74/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5057 - accuracy: 0.8034 - val_loss: 0.6233 - val_accuracy: 0.7516 Epoch 75/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5075 - accuracy: 0.8008 - val_loss: 0.6115 - val_accuracy: 0.7560 Epoch 76/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5052 - accuracy: 0.8046 - val_loss: 0.6091 - val_accuracy: 0.7622 Epoch 77/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5013 - accuracy: 0.8042 - val_loss: 0.6034 - val_accuracy: 0.7596 Epoch 78/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4979 - accuracy: 0.8019 - val_loss: 0.6081 - val_accuracy: 0.7622 Epoch 79/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4992 - accuracy: 0.8015 - val_loss: 0.5990 - val_accuracy: 0.7631 Epoch 80/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4984 - accuracy: 0.8050 - val_loss: 0.6056 - val_accuracy: 0.7640 Epoch 81/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4946 - accuracy: 0.8073 - val_loss: 0.6079 - val_accuracy: 0.7614 Epoch 82/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4959 - accuracy: 0.8038 - val_loss: 0.6091 - val_accuracy: 0.7720 Epoch 83/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4917 - accuracy: 0.8065 - val_loss: 0.6071 - val_accuracy: 0.7631 Epoch 84/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4921 - accuracy: 0.8069 - val_loss: 0.6057 - val_accuracy: 0.7720 Epoch 00084: early stopping
<tensorflow.python.keras.callbacks.History at 0x29583cd8880>
pred = classifier.predict_classes(X_test)
y_resampled.unique()
[5, 6, 7, 4, 8, 3] Categories (6, int64): [5, 6, 7, 4, 8, 3]
actual = pd.Series([np.argmax(i) for i in y_test])
actual.unique()
array([6, 7, 3, 4, 8, 5], dtype=int64)
print(classification_report(pred,actual))
precision recall f1-score support
3 1.00 0.96 0.98 200
4 0.84 0.60 0.70 271
5 0.34 0.46 0.39 132
6 0.39 0.60 0.47 122
7 0.79 0.72 0.75 215
8 0.97 0.95 0.96 183
accuracy 0.73 1123
macro avg 0.72 0.71 0.71 1123
weighted avg 0.77 0.73 0.74 1123
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=15)
classfier2 = Sequential()
classfier2.add(Dense(20,input_shape=(11,),activation='relu'))
classfier2.add(Dense(10,activation='relu'))
classfier2.add(Dense(9,activation='softmax'))
adam = optimizers.Adam(lr=0.05, decay=1e-3)
classfier2.compile(optimizer=adam,metrics='accuracy',loss='categorical_crossentropy')
classfier2.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
Epoch 1/500 82/82 [==============================] - 1s 5ms/step - loss: 1.2320 - accuracy: 0.4767 - val_loss: 0.9943 - val_accuracy: 0.6126 Epoch 2/500 82/82 [==============================] - 0s 2ms/step - loss: 0.9331 - accuracy: 0.6095 - val_loss: 0.9429 - val_accuracy: 0.5931 Epoch 3/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8823 - accuracy: 0.6286 - val_loss: 0.8929 - val_accuracy: 0.6465 Epoch 4/500 82/82 [==============================] - 0s 2ms/step - loss: 0.8441 - accuracy: 0.6634 - val_loss: 0.8425 - val_accuracy: 0.6670 Epoch 5/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7934 - accuracy: 0.6733 - val_loss: 0.8220 - val_accuracy: 0.6572 Epoch 6/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7516 - accuracy: 0.7000 - val_loss: 0.7522 - val_accuracy: 0.6892 Epoch 7/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7380 - accuracy: 0.7019 - val_loss: 0.7598 - val_accuracy: 0.7053 Epoch 8/500 82/82 [==============================] - 0s 2ms/step - loss: 0.7126 - accuracy: 0.7080 - val_loss: 0.7417 - val_accuracy: 0.6963 Epoch 9/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6997 - accuracy: 0.7187 - val_loss: 0.7701 - val_accuracy: 0.7159 Epoch 10/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6700 - accuracy: 0.7309 - val_loss: 0.7137 - val_accuracy: 0.7195 Epoch 11/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6456 - accuracy: 0.7366 - val_loss: 0.7166 - val_accuracy: 0.7195 Epoch 12/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6476 - accuracy: 0.7385 - val_loss: 0.6898 - val_accuracy: 0.7391 Epoch 13/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6012 - accuracy: 0.7550 - val_loss: 0.6764 - val_accuracy: 0.7480 Epoch 14/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6243 - accuracy: 0.7492 - val_loss: 0.6806 - val_accuracy: 0.7248 Epoch 15/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6115 - accuracy: 0.7504 - val_loss: 0.7270 - val_accuracy: 0.7435 Epoch 16/500 82/82 [==============================] - 0s 2ms/step - loss: 0.6081 - accuracy: 0.7653 - val_loss: 0.6704 - val_accuracy: 0.7435 Epoch 17/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5655 - accuracy: 0.7740 - val_loss: 0.6440 - val_accuracy: 0.7649 Epoch 18/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5605 - accuracy: 0.7645 - val_loss: 0.6372 - val_accuracy: 0.7605 Epoch 19/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5558 - accuracy: 0.7756 - val_loss: 0.6565 - val_accuracy: 0.7507 Epoch 20/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5382 - accuracy: 0.7821 - val_loss: 0.6662 - val_accuracy: 0.7364 Epoch 21/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5527 - accuracy: 0.7779 - val_loss: 0.6263 - val_accuracy: 0.7605 Epoch 22/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5277 - accuracy: 0.7908 - val_loss: 0.6367 - val_accuracy: 0.7542 Epoch 23/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5266 - accuracy: 0.7889 - val_loss: 0.6291 - val_accuracy: 0.7542 Epoch 24/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5463 - accuracy: 0.7817 - val_loss: 0.7338 - val_accuracy: 0.7418 Epoch 25/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5440 - accuracy: 0.7828 - val_loss: 0.6537 - val_accuracy: 0.7453 Epoch 26/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5273 - accuracy: 0.7912 - val_loss: 0.6262 - val_accuracy: 0.7605 Epoch 27/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5061 - accuracy: 0.7962 - val_loss: 0.6190 - val_accuracy: 0.7845 Epoch 28/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5095 - accuracy: 0.7912 - val_loss: 0.6110 - val_accuracy: 0.7881 Epoch 29/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4991 - accuracy: 0.7989 - val_loss: 0.6497 - val_accuracy: 0.7560 Epoch 30/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5162 - accuracy: 0.7935 - val_loss: 0.6214 - val_accuracy: 0.7818 Epoch 31/500 82/82 [==============================] - 0s 2ms/step - loss: 0.5101 - accuracy: 0.7958 - val_loss: 0.6334 - val_accuracy: 0.7685 Epoch 32/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4910 - accuracy: 0.8034 - val_loss: 0.6504 - val_accuracy: 0.7569 Epoch 33/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4887 - accuracy: 0.8004 - val_loss: 0.6500 - val_accuracy: 0.7622 Epoch 34/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4855 - accuracy: 0.8076 - val_loss: 0.6857 - val_accuracy: 0.7605 Epoch 35/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4896 - accuracy: 0.8034 - val_loss: 0.6403 - val_accuracy: 0.7774 Epoch 36/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4915 - accuracy: 0.8053 - val_loss: 0.6153 - val_accuracy: 0.7836 Epoch 37/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4838 - accuracy: 0.8111 - val_loss: 0.6323 - val_accuracy: 0.7854 Epoch 38/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4778 - accuracy: 0.8126 - val_loss: 0.6462 - val_accuracy: 0.7720 Epoch 39/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4701 - accuracy: 0.8149 - val_loss: 0.6374 - val_accuracy: 0.7738 Epoch 40/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4653 - accuracy: 0.8141 - val_loss: 0.6049 - val_accuracy: 0.7792 Epoch 41/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4591 - accuracy: 0.8191 - val_loss: 0.6209 - val_accuracy: 0.7729 Epoch 42/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4706 - accuracy: 0.8202 - val_loss: 0.6368 - val_accuracy: 0.7631 Epoch 43/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4735 - accuracy: 0.8122 - val_loss: 0.6640 - val_accuracy: 0.7649 Epoch 44/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4588 - accuracy: 0.8156 - val_loss: 0.6697 - val_accuracy: 0.7827 Epoch 45/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4696 - accuracy: 0.8115 - val_loss: 0.6386 - val_accuracy: 0.7783 Epoch 46/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4737 - accuracy: 0.8122 - val_loss: 0.6383 - val_accuracy: 0.7827 Epoch 47/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4572 - accuracy: 0.8141 - val_loss: 0.6452 - val_accuracy: 0.7676 Epoch 48/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4700 - accuracy: 0.8134 - val_loss: 0.6302 - val_accuracy: 0.7774 Epoch 49/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4500 - accuracy: 0.8256 - val_loss: 0.6583 - val_accuracy: 0.7774 Epoch 50/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4549 - accuracy: 0.8137 - val_loss: 0.6592 - val_accuracy: 0.7703 Epoch 51/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4475 - accuracy: 0.8221 - val_loss: 0.6321 - val_accuracy: 0.7801 Epoch 52/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4460 - accuracy: 0.8225 - val_loss: 0.6453 - val_accuracy: 0.7854 Epoch 53/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4456 - accuracy: 0.8244 - val_loss: 0.6563 - val_accuracy: 0.7774 Epoch 54/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4440 - accuracy: 0.8237 - val_loss: 0.6240 - val_accuracy: 0.7890 Epoch 55/500 82/82 [==============================] - 0s 2ms/step - loss: 0.4420 - accuracy: 0.8218 - val_loss: 0.6410 - val_accuracy: 0.7854 Epoch 00055: early stopping
<tensorflow.python.keras.callbacks.History at 0x2958410c4f0>
pred2 = classfier2.predict_classes(X_test)
actual2 = pd.Series([np.argmax(i) for i in y_test])
print(classification_report(pred2,actual2))
precision recall f1-score support
3 1.00 0.96 0.98 199
4 0.88 0.89 0.88 189
5 0.56 0.65 0.60 153
6 0.40 0.55 0.46 137
7 0.91 0.67 0.77 263
8 0.96 0.94 0.95 182
accuracy 0.79 1123
macro avg 0.78 0.78 0.77 1123
weighted avg 0.82 0.79 0.79 1123
classfier2.save('classifier.h5')
x = load_model('classifier.h5')
import tkinter as tk
from tkinter.filedialog import askopenfile
window = tk.Tk()
window.title("Neural Networks GUI")
canvas = tk.Canvas(window, width=800, height=50,borderwidth=2)
canvas.grid(columnspan=3, rowspan=30)
# Step1
lb1 = tk.Label(window, text="Step1: File name")
lb1.grid(column=0, row=5)
entry1 = tk.Button(window,width=20, text ='Click here to load file!!', command = lambda:open_file())
entry1.grid(column=1, row=5)
entry2 = tk.Button(window,text='Import Data',width=27,command=lambda:load_file())
entry2.grid(column=2, row=5)
# Step2
lb2 = tk.Label(window, text="Step2: Target Column")
lb2.grid(column=0, row=6)
inputtxt = tk.Text(window,height = 1,width = 20)
inputtxt.grid(column=1, row=6)
entry3 = tk.Button(window,text='Import Target',width=27,command=lambda:load_target())
entry3.grid(column=2, row=6)
# Step3
lb3 = tk.Label(window, text="Step3: Neural Network Regressor")
lb3.grid(column=0, row=7)
lb4 = tk.Label(window, text="Regression")
lb4.grid(column=0, row=8)
entry4 = tk.Button(window,text='Train',width=27,command=lambda:train_regressor())
entry4.grid(column=1, row=8)
lb5 = tk.Label(window, text="-->Regression-->")
lb5.grid(column=2, row=8)
lb6 = tk.Label(window, text="Pickle")
lb6.grid(column=0, row=9)
entry5 = tk.Button(window,text='Pickle',width=27,command=lambda:pickle_regressor())
entry5.grid(column=1, row=9)
lb7 = tk.Label(window, text="Pickle Model here")
lb7.grid(column=2, row=9)
#Step4
lb8 = tk.Label(window, text="Step4: Neural Network Classfier")
lb8.grid(column=0, row=10)
lb9 = tk.Label(window, text="Classification")
lb9.grid(column=0, row=11)
entry5 = tk.Button(window,text='Train',width=27,command=lambda:train_classfier())
entry5.grid(column=1, row=11)
lb10 = tk.Label(window, text="-->Classfier-->")
lb10.grid(column=2, row=11)
lb11 = tk.Label(window, text="Pickle")
lb11.grid(column=0, row=12)
entry6 = tk.Button(window,text='Pickle',width=27,command=lambda:pickle_classfier())
entry6.grid(column=1, row=12)
lb12 = tk.Label(window, text="Pickle Model here")
lb12.grid(column=2, row=12)
lb13 = tk.Label(window, text=".")
lb13.grid(column=0, row=14)
lb14 = tk.Label(window, text=".")
lb14.grid(column=1, row=14)
lb15 = tk.Label(window, text=".")
lb15.grid(column=2, row=14)
def pickle_classfier():
classifier.save('NN_classfier_pickled.h5')
lb12.configure(text="Model Pickled!!")
def train_classfier():
global classifier
ST = SMOTETomek({4:640,8:640,3:640,7:650,6:700})
df[inputtxt.get(1.0, "end-1c")] = df[inputtxt.get(1.0, "end-1c")].astype('category')
X_resampled, y_resampled = ST.fit_resample(df.drop(inputtxt.get(1.0, "end-1c"),axis=1),df[inputtxt.get(1.0, "end-1c")])
X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.3, random_state=11)
SS = StandardScaler()
X_train = SS.fit_transform(X_train)
X_test = SS.transform(X_test)
y_train = to_categorical(y_train)
y_test = to_categorical(y_test)
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=5)
classifier = Sequential()
classifier.add(Dense(20,input_shape=(11,),activation='relu'))
classifier.add(Dense(15,activation='relu'))
classifier.add(Dense(7,activation='relu'))
classifier.add(Dense(9,activation='sigmoid'))
adam = optimizers.Adam(lr=0.08, decay=1e-6)
classifier.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
classifier.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=[ES])
lb10.configure(text="Training Complete!!")
def pickle_regressor():
model6.save('NN_regressor_pickled.h5')
lb7.configure(text="Model Pickled!!")
def train_regressor():
global model6
entry4.configure(text="Training -----> Please wait")
ST = SMOTETomek({4:550,8:590,3:590,7:600})
X_resampled, y_resampled = ST.fit_resample(df.drop(inputtxt.get(1.0, "end-1c"),axis=1),df[inputtxt.get(1.0, "end-1c")])
X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.3, random_state=11)
SS = StandardScaler()
X_train = SS.fit_transform(X_train)
X_test = SS.transform(X_test)
ES = EarlyStopping(monitor='mean_squared_error',mode='min',verbose=1,patience=15)
model6 = Sequential()
model6.add(Dense(20,input_shape=(11,),activation='relu'))
model6.add(Dense(10,activation='relu'))
model6.add(Dense(5,activation='relu'))
model6.add(Dense(3,activation='relu'))
model6.add(Dense(1,activation='relu'))
adam = optimizers.Adam(lr=0.05, decay=1e-2)
model6.compile(optimizer=adam,metrics='mean_squared_error',loss='mean_squared_error')
model6.fit(X_train,y_train,epochs=500,validation_data=(X_test,y_test),callbacks=ES)
lb5.configure(text="Training Complete!!")
def load_target():
if inputtxt.get(1.0, "end-1c") in df.columns:
entry3.configure(text='Target found!!',width=27)
else:
entry3.configure(text='Target not found, Re-enter',width=35)
def load_file():
if df.any:
entry2.configure(text='File loaded Successfully!!!')
else:
entry2.configure(text='File not loaded, recheck')
def open_file():
global df
file = askopenfile(mode ='r', filetypes =[('Excel files','.csv')])
df = pd.read_csv(file)
window.mainloop()
n = load_model('NN_regressor_pickled.h5')
n.predict(X_test)
array([[4.747287 ],
[6.794597 ],
[7.139029 ],
...,
[3.0418382],
[7.9781156],
[4.607175 ]], dtype=float32)
o = load_model('NN_classfier_pickled.h5')
o.predict_classes(X_test)
array([6, 7, 7, ..., 3, 8, 4], dtype=int64)
import h5py
f = h5py.File('Part - 4 - Autonomous_Vehicles_SVHN_single_grey1.h5', 'r')
f.keys()
<KeysViewHDF5 ['X_test', 'X_train', 'X_val', 'y_test', 'y_train', 'y_val']>
X_test = np.array(f['X_test'])
X_train = np.array(f['X_train'])
X_val = np.array(f['X_val'])
y_test = np.array(f['y_test'])
y_train = np.array(f['y_train'])
y_val = np.array(f['y_val'])
X_train.shape
(42000, 32, 32)
X_test.shape
(18000, 32, 32)
X_val.shape
(60000, 32, 32)
y_train.shape
(42000,)
y_test.shape
(18000,)
y_val.shape
(60000,)
pd.Series(y_train).value_counts()
3 4281 5 4232 2 4197 9 4196 7 4192 4 4188 8 4188 0 4186 1 4172 6 4168 dtype: int64
class Image_Neural_Network_Processing():
'''
***********Developed by Raghavendra.S.K***********
This datatype helps in reshaping the dataset.
1. It has methods such as dataset_shaping().Kindly pass your train and test dataset inside.
The order to pass data set is......
- X_train,X_test = dataset_shaping(x_train,y_train,x_test,y_test)
2. You can also normalize the images if you have instantiated the object with X_train,X_test,y_train,y_test
- X_train,X_test = image_normalization()
Basic imports quick look (only for IDE,Jupyter,Colab):
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import tensorflow as tf
from tensorflow.keras.datasets import mnist
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout
from tensorflow.keras.utils import to_categorical
from tensorflow.keras import regularizers, optimizers
from tensorflow.keras.callbacks import EarlyStopping
***********Developed by Raghavendra.S.K***********
'''
def dataset_shaping(self,x_train,y_train,x_test,y_test):
self.X_train = x_train
self.X_test = x_test
self.y_train = y_train
self.y_test = y_test
try:
if len(self.X_train.shape)==3 & len(self.X_test.shape)==3:
print(f"The shape of X_train was {self.X_train.shape}\n")
print(f"The shape of X_test was {self.X_test.shape}\n")
self.X_train = self.X_train.reshape(self.X_train.shape[0],(self.X_train.shape[1]*self.X_train.shape[2]))
self.X_test = self.X_test.reshape(self.X_test.shape[0],(self.X_test.shape[1]*self.X_test.shape[2]))
print(f"X_train has been reshaped to {self.X_train.shape}\n")
print(f"X_test has been reshaped to {self.X_test.shape}\n")
return self.X_train,self.X_test
elif len(self.X_train.shape)==3 | len(self.X_test.shape)==3:
if len(self.X_train.shape) == 3:
print(f"The shape of X_train was {self.X_train.shape}\n")
self.X_train = self.X_train.reshape(self.X_train.shape[0],(self.X_train.shape[1]*self.X_train.shape[2]))
print(f"X_train has been reshaped to {self.X_train.shape}\n")
print(f"The X_train remains in correct shape self.{X_train.shape}, recheck if necessary and X_test is not reshaped")
return self.X_train
elif len(self.X_test.shape) == 3:
print(f"The shape of X_test was {self.X_test.shape}\n")
self.X_test = self.X_test.reshape(self.X_test.shape[0],(self.X_test.shape[1]*self.X_test.shape[2]))
print(f"X_test has been reshaped to {self.X_test.shape}\n")
print(f"The X_test remains in correct shape {self.X_test.shape}, recheck if necessary and X_train is not reshaped")
return self.X_test
else:
print(f"Please check both train and test datasets")
except:
print(f"You have already run the datasets in the datatype")
def image_normalization(self):
try:
if (self.X_train.max()<=255) & (self.X_test.max()<=255):
print("Image detected - Data normalized!!")
self.X_train = self.X_train/255
self.X_test = self.X_test/255
return self.X_train,self.X_test
except:
if (self.X_train.max()<=255) | (self.X_test.max()<=255):
if self.X_train.max()<=255:
print("Only X_train is an image")
return self.X_train/255
elif self.X_test.max()<=255:
print("Only X_test is an image")
return self.X_test/255
else:
print("None of the inputs shared are images to perform image normalization")
nn = Image_Neural_Network_Processing()
X_train,X_test = nn.dataset_shaping(X_train,y_train,X_test,y_test)
The shape of X_train was (42000, 32, 32) The shape of X_test was (18000, 32, 32) X_train has been reshaped to (42000, 1024) X_test has been reshaped to (18000, 1024)
X_train,X_test = nn.image_normalization()
Image detected - Data normalized!!
print(y_train[110])
plt.imshow(X_train.reshape(42000,32,32,1)[110],cmap='gray')
8
<matplotlib.image.AxesImage at 0x18bb0e106a0>
pd.Series(y_train).unique()
# We notice numbers from 0 - 9 -> 10 classes
y_train = np_utils.to_categorical(y_train)
y_test = np_utils.to_categorical(y_test)
#Converting the target to categorical columns
def RMS_prop_classifier(opt):
model_metrics = pd.DataFrame(columns=['Model','Optimizer','Learning_rate','Momentum','Decay','Training Loss','Test Loss','Train_Acc','Test_Acc'])
new_dict = {}
lr = [0.01,0.05,0.1,0.5,0.001,0.005]
Momentum = [0.8,0.6,0.4]
decay = [1e-6,1e-4,1e-2,1]
try:
i = model_metrics['Model'].iloc[-1]
i+=1
except:
i = 1
for l in lr:
for m in Momentum:
for d in decay:
image_model = Sequential()
image_model.add(Dense(500,input_shape=(1024,),activation='relu'))
image_model.add(Dense(400,activation='relu'))
image_model.add(Dense(300,activation='relu'))
image_model.add(Dense(200,activation='relu'))
image_model.add(Dense(100,activation='relu'))
image_model.add(Dense(50,activation='relu'))
image_model.add(Dense(10,activation='softmax'))
sgd = optimizers.SGD(lr=l, decay=d, momentum=m)
image_model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
image_model.fit(X_train,y_train,epochs=10,validation_data=(X_test,y_test))
training_acc = image_model.evaluate(X_train,y_train)[1]
testing_acc = image_model.evaluate(X_test,y_test)[1]
train_loss =image_model.evaluate(X_train,y_train)[0]
test_loss = image_model.evaluate(X_test,y_test)[1]
dd = {'Model':i,'Optimizer':opt,'Learning_rate':l,'Momentum':m,'Decay':d,'Training Loss':train_loss,'Test Loss':test_loss,'Train_Acc':training_acc,'Test_Acc':testing_acc}
model_metrics = model_metrics.append(dd,ignore_index=True)
i+=1
return model_metrics
#Momentum0.6 - accuracy 96% training loss 10% val_loss-1.03
classifier_data_SGD = RMS_prop_classifier('SGD')
Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.0768 - accuracy: 0.2237 - val_loss: 1.4869 - val_accuracy: 0.4877 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.4168 - accuracy: 0.5152 - val_loss: 1.2815 - val_accuracy: 0.5647 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.1662 - accuracy: 0.6186 - val_loss: 1.2271 - val_accuracy: 0.6001 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0362 - accuracy: 0.6676 - val_loss: 1.0838 - val_accuracy: 0.6547 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9426 - accuracy: 0.6962 - val_loss: 0.9095 - val_accuracy: 0.7066 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8757 - accuracy: 0.7198 - val_loss: 1.0862 - val_accuracy: 0.6517 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8232 - accuracy: 0.7359 - val_loss: 0.8093 - val_accuracy: 0.7436 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7783 - accuracy: 0.7515 - val_loss: 0.8046 - val_accuracy: 0.7475 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.7383 - accuracy: 0.7637 - val_loss: 0.7889 - val_accuracy: 0.7528 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7093 - accuracy: 0.7718 - val_loss: 0.7847 - val_accuracy: 0.7500 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6737 - accuracy: 0.7822 563/563 [==============================] - 2s 3ms/step - loss: 0.7847 - accuracy: 0.7500 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6737 - accuracy: 0.7822 563/563 [==============================] - 2s 3ms/step - loss: 0.7847 - accuracy: 0.7500 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.9886 - accuracy: 0.2729 - val_loss: 1.5298 - val_accuracy: 0.5014 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3457 - accuracy: 0.5479 - val_loss: 1.2565 - val_accuracy: 0.5894 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0923 - accuracy: 0.6460 - val_loss: 0.9936 - val_accuracy: 0.6838 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9616 - accuracy: 0.6925 - val_loss: 0.9189 - val_accuracy: 0.7078 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8701 - accuracy: 0.7223 - val_loss: 0.8361 - val_accuracy: 0.7384 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8003 - accuracy: 0.7450 - val_loss: 0.8054 - val_accuracy: 0.7457 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7499 - accuracy: 0.7615 - val_loss: 0.7430 - val_accuracy: 0.7703 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7046 - accuracy: 0.7738 - val_loss: 0.7721 - val_accuracy: 0.7591 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.6708 - accuracy: 0.7868 - val_loss: 0.7257 - val_accuracy: 0.7725 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.6314 - accuracy: 0.7980 - val_loss: 0.7187 - val_accuracy: 0.7769 1313/1313 [==============================] - 5s 3ms/step - loss: 0.6148 - accuracy: 0.8022 563/563 [==============================] - 2s 4ms/step - loss: 0.7187 - accuracy: 0.7769 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6148 - accuracy: 0.8022 563/563 [==============================] - 2s 3ms/step - loss: 0.7187 - accuracy: 0.7769 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2825 - accuracy: 0.1753 - val_loss: 2.2577 - val_accuracy: 0.2208 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2293 - accuracy: 0.2530 - val_loss: 2.1967 - val_accuracy: 0.2786 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.1601 - accuracy: 0.2812 - val_loss: 2.1175 - val_accuracy: 0.2989 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.0789 - accuracy: 0.3055 - val_loss: 2.0354 - val_accuracy: 0.3027 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.0031 - accuracy: 0.3301 - val_loss: 1.9678 - val_accuracy: 0.3541 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.9392 - accuracy: 0.3579 - val_loss: 1.9061 - val_accuracy: 0.3787 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.8880 - accuracy: 0.3779 - val_loss: 1.8591 - val_accuracy: 0.3871 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.8460 - accuracy: 0.3916 - val_loss: 1.8225 - val_accuracy: 0.4023 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.8107 - accuracy: 0.4049 - val_loss: 1.7914 - val_accuracy: 0.4184 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.7814 - accuracy: 0.4142 - val_loss: 1.7634 - val_accuracy: 0.4289 1313/1313 [==============================] - 5s 4ms/step - loss: 1.7657 - accuracy: 0.4275 563/563 [==============================] - 2s 4ms/step - loss: 1.7634 - accuracy: 0.4289 1313/1313 [==============================] - 5s 4ms/step - loss: 1.7657 - accuracy: 0.4275: 0s - loss: 1.7655 - accuracy: 0.42 563/563 [==============================] - 2s 4ms/step - loss: 1.7634 - accuracy: 0.4289 Epoch 1/10 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3033 - accuracy: 0.1017 - val_loss: 2.3031 - val_accuracy: 0.0961 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3025 - accuracy: 0.1033 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3023 - accuracy: 0.1040 - val_loss: 2.3027 - val_accuracy: 0.0989 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3022 - accuracy: 0.1050 - val_loss: 2.3026 - val_accuracy: 0.0993 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3022 - accuracy: 0.1050 - val_loss: 2.3026 - val_accuracy: 0.0997 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3021 - accuracy: 0.1052 - val_loss: 2.3025 - val_accuracy: 0.0998 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3020 - accuracy: 0.1055 - val_loss: 2.3025 - val_accuracy: 0.1002 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3020 - accuracy: 0.1059 - val_loss: 2.3024 - val_accuracy: 0.1007 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3020 - accuracy: 0.1062 - val_loss: 2.3024 - val_accuracy: 0.1012 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3019 - accuracy: 0.1064 - val_loss: 2.3024 - val_accuracy: 0.1013 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3019 - accuracy: 0.1064 563/563 [==============================] - 2s 3ms/step - loss: 2.3024 - accuracy: 0.1013 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3019 - accuracy: 0.1064 563/563 [==============================] - 2s 3ms/step - loss: 2.3024 - accuracy: 0.1013 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.1196 - accuracy: 0.2334 - val_loss: 1.7149 - val_accuracy: 0.3993 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4697 - accuracy: 0.5048 - val_loss: 1.3797 - val_accuracy: 0.5320 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.1943 - accuracy: 0.6127 - val_loss: 1.0027 - val_accuracy: 0.6822 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0491 - accuracy: 0.6632 - val_loss: 1.0503 - val_accuracy: 0.6614 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.9470 - accuracy: 0.7009 - val_loss: 1.0139 - val_accuracy: 0.6774 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8762 - accuracy: 0.7208 - val_loss: 0.8682 - val_accuracy: 0.7297 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8168 - accuracy: 0.7408 - val_loss: 0.8889 - val_accuracy: 0.7232 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7700 - accuracy: 0.7550 - val_loss: 0.7789 - val_accuracy: 0.7582 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7286 - accuracy: 0.7676 - val_loss: 0.8129 - val_accuracy: 0.7429 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.6935 - accuracy: 0.7799 - val_loss: 0.8920 - val_accuracy: 0.7099 1313/1313 [==============================] - 5s 4ms/step - loss: 0.7953 - accuracy: 0.7349 563/563 [==============================] - 2s 4ms/step - loss: 0.8920 - accuracy: 0.7099 1313/1313 [==============================] - 5s 4ms/step - loss: 0.7953 - accuracy: 0.7349 563/563 [==============================] - 2s 4ms/step - loss: 0.8920 - accuracy: 0.7099 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.1252 - accuracy: 0.2109 - val_loss: 1.7176 - val_accuracy: 0.3714 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.5103 - accuracy: 0.4865 - val_loss: 1.2794 - val_accuracy: 0.5966 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.2025 - accuracy: 0.6095 - val_loss: 1.0760 - val_accuracy: 0.6642 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0487 - accuracy: 0.6665 - val_loss: 1.0012 - val_accuracy: 0.6844 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.9450 - accuracy: 0.6988 - val_loss: 0.9747 - val_accuracy: 0.6914 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8732 - accuracy: 0.7215 - val_loss: 0.8940 - val_accuracy: 0.7211 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8197 - accuracy: 0.7383 - val_loss: 0.7972 - val_accuracy: 0.7527 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7689 - accuracy: 0.7554 - val_loss: 0.8581 - val_accuracy: 0.7338 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7361 - accuracy: 0.7657 - val_loss: 0.7629 - val_accuracy: 0.7623 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.6985 - accuracy: 0.7770 - val_loss: 0.7715 - val_accuracy: 0.7588 1313/1313 [==============================] - 5s 4ms/step - loss: 0.6799 - accuracy: 0.7800 563/563 [==============================] - 2s 4ms/step - loss: 0.7715 - accuracy: 0.7588 1313/1313 [==============================] - 5s 4ms/step - loss: 0.6799 - accuracy: 0.7800 563/563 [==============================] - 2s 4ms/step - loss: 0.7715 - accuracy: 0.7588: 0s - loss: 0.7679 - accura Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2881 - accuracy: 0.1531 - val_loss: 2.2779 - val_accuracy: 0.1969 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2695 - accuracy: 0.2039 - val_loss: 2.2644 - val_accuracy: 0.2090 Epoch 3/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2575 - accuracy: 0.2191 - val_loss: 2.2537 - val_accuracy: 0.2117 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2472 - accuracy: 0.2207 - val_loss: 2.2440 - val_accuracy: 0.2113 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2378 - accuracy: 0.2261 - val_loss: 2.2347 - val_accuracy: 0.2151 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2288 - accuracy: 0.2270 - val_loss: 2.2259 - val_accuracy: 0.2109 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2202 - accuracy: 0.2253 - val_loss: 2.2175 - val_accuracy: 0.2166 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2118 - accuracy: 0.2298 - val_loss: 2.2094 - val_accuracy: 0.2179 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2037 - accuracy: 0.2294 - val_loss: 2.2013 - val_accuracy: 0.2216 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.1957 - accuracy: 0.2311 - val_loss: 2.1933 - val_accuracy: 0.2268 1313/1313 [==============================] - 4s 3ms/step - loss: 2.1915 - accuracy: 0.2352 563/563 [==============================] - 2s 3ms/step - loss: 2.1933 - accuracy: 0.2268 1313/1313 [==============================] - 4s 3ms/step - loss: 2.1915 - accuracy: 0.2352 563/563 [==============================] - 2s 3ms/step - loss: 2.1933 - accuracy: 0.2268 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3028 - accuracy: 0.0981 - val_loss: 2.3023 - val_accuracy: 0.0992 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3022 - accuracy: 0.0984 - val_loss: 2.3021 - val_accuracy: 0.0994 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3021 - accuracy: 0.0985 - val_loss: 2.3020 - val_accuracy: 0.0996 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3020 - accuracy: 0.0984 - val_loss: 2.3020 - val_accuracy: 0.0997 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3019 - accuracy: 0.0984 - val_loss: 2.3019 - val_accuracy: 0.0996 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3018 - accuracy: 0.0983 - val_loss: 2.3019 - val_accuracy: 0.0998 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3018 - accuracy: 0.0985 - val_loss: 2.3018 - val_accuracy: 0.0998 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3018 - accuracy: 0.0983 - val_loss: 2.3018 - val_accuracy: 0.1001 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3017 - accuracy: 0.0984 - val_loss: 2.3018 - val_accuracy: 0.1001 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3017 - accuracy: 0.0984 - val_loss: 2.3017 - val_accuracy: 0.1002 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3017 - accuracy: 0.0984 563/563 [==============================] - 2s 4ms/step - loss: 2.3017 - accuracy: 0.1002 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3017 - accuracy: 0.0984 563/563 [==============================] - 2s 4ms/step - loss: 2.3017 - accuracy: 0.1002 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2643 - accuracy: 0.1710 - val_loss: 2.1244 - val_accuracy: 0.2391 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.7040 - accuracy: 0.4174 - val_loss: 1.6371 - val_accuracy: 0.4360 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.3144 - accuracy: 0.5680 - val_loss: 1.5497 - val_accuracy: 0.4849 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.1274 - accuracy: 0.6393 - val_loss: 1.1843 - val_accuracy: 0.6149 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0102 - accuracy: 0.6793 - val_loss: 1.2714 - val_accuracy: 0.5961 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.9261 - accuracy: 0.7055 - val_loss: 1.1310 - val_accuracy: 0.6220 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.8657 - accuracy: 0.7256 - val_loss: 0.8420 - val_accuracy: 0.7411 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8105 - accuracy: 0.7416 - val_loss: 0.8756 - val_accuracy: 0.7253 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7676 - accuracy: 0.7553 - val_loss: 0.7943 - val_accuracy: 0.7507 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7332 - accuracy: 0.7668 - val_loss: 0.7580 - val_accuracy: 0.7633 1313/1313 [==============================] - 5s 4ms/step - loss: 0.6832 - accuracy: 0.7839 563/563 [==============================] - 2s 4ms/step - loss: 0.7580 - accuracy: 0.7633 1313/1313 [==============================] - 5s 4ms/step - loss: 0.6832 - accuracy: 0.7839 563/563 [==============================] - 2s 4ms/step - loss: 0.7580 - accuracy: 0.7633 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2023 - accuracy: 0.1865 - val_loss: 2.0126 - val_accuracy: 0.2565 Epoch 2/10 1313/1313 [==============================] - 14s 10ms/step - loss: 1.6668 - accuracy: 0.4227 - val_loss: 1.5322 - val_accuracy: 0.4820 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.3427 - accuracy: 0.5601 - val_loss: 1.2452 - val_accuracy: 0.5958 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.1456 - accuracy: 0.6353 - val_loss: 1.2522 - val_accuracy: 0.5864 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0252 - accuracy: 0.6777 - val_loss: 1.0685 - val_accuracy: 0.6583 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.9479 - accuracy: 0.7006 - val_loss: 0.9224 - val_accuracy: 0.7123 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.8848 - accuracy: 0.7237 - val_loss: 0.9703 - val_accuracy: 0.6896 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.8354 - accuracy: 0.7365 - val_loss: 0.8799 - val_accuracy: 0.7250 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7945 - accuracy: 0.7497 - val_loss: 0.8191 - val_accuracy: 0.7491 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.7607 - accuracy: 0.7618 - val_loss: 0.8754 - val_accuracy: 0.7248 1313/1313 [==============================] - 5s 4ms/step - loss: 0.8044 - accuracy: 0.7410 563/563 [==============================] - 2s 4ms/step - loss: 0.8754 - accuracy: 0.7248 1313/1313 [==============================] - 5s 4ms/step - loss: 0.8044 - accuracy: 0.7410 563/563 [==============================] - 2s 4ms/step - loss: 0.8754 - accuracy: 0.7248 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2955 - accuracy: 0.1304 - val_loss: 2.2903 - val_accuracy: 0.1421 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2872 - accuracy: 0.1590 - val_loss: 2.2848 - val_accuracy: 0.1609 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2828 - accuracy: 0.1769 - val_loss: 2.2815 - val_accuracy: 0.1783 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2797 - accuracy: 0.1902 - val_loss: 2.2788 - val_accuracy: 0.1844 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2772 - accuracy: 0.1997 - val_loss: 2.2765 - val_accuracy: 0.2018 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2751 - accuracy: 0.2072 - val_loss: 2.2745 - val_accuracy: 0.2119 Epoch 7/10 1313/1313 [==============================] - 16s 12ms/step - loss: 2.2732 - accuracy: 0.2134 - val_loss: 2.2727 - val_accuracy: 0.2222 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2715 - accuracy: 0.2196 - val_loss: 2.2711 - val_accuracy: 0.2245 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2699 - accuracy: 0.2249 - val_loss: 2.2697 - val_accuracy: 0.2271 Epoch 10/10 1313/1313 [==============================] - 12s 10ms/step - loss: 2.2685 - accuracy: 0.2298 - val_loss: 2.2683 - val_accuracy: 0.2277 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2677 - accuracy: 0.2293 563/563 [==============================] - 2s 4ms/step - loss: 2.2683 - accuracy: 0.2277 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2677 - accuracy: 0.2293 563/563 [==============================] - 2s 4ms/step - loss: 2.2683 - accuracy: 0.2277 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3074 - accuracy: 0.1012 - val_loss: 2.3067 - val_accuracy: 0.1017 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3062 - accuracy: 0.1014 - val_loss: 2.3063 - val_accuracy: 0.1019 Epoch 3/10 1313/1313 [==============================] - 14s 11ms/step - loss: 2.3059 - accuracy: 0.1014 - val_loss: 2.3060 - val_accuracy: 0.1021 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3057 - accuracy: 0.1015 - val_loss: 2.3059 - val_accuracy: 0.1019 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3056 - accuracy: 0.1016 - val_loss: 2.3058 - val_accuracy: 0.1020 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3055 - accuracy: 0.1018 - val_loss: 2.3057 - val_accuracy: 0.1020 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3054 - accuracy: 0.1018 - val_loss: 2.3056 - val_accuracy: 0.1020 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3053 - accuracy: 0.1018 - val_loss: 2.3055 - val_accuracy: 0.1019 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3053 - accuracy: 0.1016 - val_loss: 2.3055 - val_accuracy: 0.1020 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3052 - accuracy: 0.1016 - val_loss: 2.3054 - val_accuracy: 0.1019 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3052 - accuracy: 0.1017 563/563 [==============================] - 2s 4ms/step - loss: 2.3054 - accuracy: 0.1019 1313/1313 [==============================] - 6s 4ms/step - loss: 2.3052 - accuracy: 0.1017 563/563 [==============================] - 3s 5ms/step - loss: 2.3054 - accuracy: 0.1019 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2677 - accuracy: 0.1231 - val_loss: 2.1630 - val_accuracy: 0.1439 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.9266 - accuracy: 0.2728 - val_loss: 1.6816 - val_accuracy: 0.3882 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.6175 - accuracy: 0.4272 - val_loss: 1.3710 - val_accuracy: 0.5317 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.4314 - accuracy: 0.5250 - val_loss: 1.4181 - val_accuracy: 0.5402 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.3013 - accuracy: 0.5798 - val_loss: 1.2190 - val_accuracy: 0.6018 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.2026 - accuracy: 0.6182 - val_loss: 1.0763 - val_accuracy: 0.6617 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.1155 - accuracy: 0.6470 - val_loss: 1.1137 - val_accuracy: 0.6533 Epoch 8/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0731 - accuracy: 0.6647 - val_loss: 1.0211 - val_accuracy: 0.6897 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0298 - accuracy: 0.6798 - val_loss: 0.9841 - val_accuracy: 0.6959 Epoch 10/10 1313/1313 [==============================] - 14s 10ms/step - loss: 0.9949 - accuracy: 0.6925 - val_loss: 1.1293 - val_accuracy: 0.6367 1313/1313 [==============================] - 5s 4ms/step - loss: 1.0927 - accuracy: 0.6435 563/563 [==============================] - 2s 4ms/step - loss: 1.1293 - accuracy: 0.6367 1313/1313 [==============================] - 6s 4ms/step - loss: 1.0927 - accuracy: 0.6435 563/563 [==============================] - 2s 4ms/step - loss: 1.1293 - accuracy: 0.6367 Epoch 1/10 1313/1313 [==============================] - 15s 10ms/step - loss: 2.2741 - accuracy: 0.1161 - val_loss: 2.0061 - val_accuracy: 0.2258 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.8331 - accuracy: 0.3204 - val_loss: 1.6066 - val_accuracy: 0.4147 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.5138 - accuracy: 0.4725 - val_loss: 1.3415 - val_accuracy: 0.5497 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.3053 - accuracy: 0.5670 - val_loss: 1.2267 - val_accuracy: 0.5967 Epoch 5/10 1313/1313 [==============================] - 14s 10ms/step - loss: 1.1663 - accuracy: 0.6222 - val_loss: 1.1662 - val_accuracy: 0.6282 Epoch 6/10 1313/1313 [==============================] - 14s 11ms/step - loss: 1.0642 - accuracy: 0.6559 - val_loss: 0.9988 - val_accuracy: 0.6864 Epoch 7/10 1313/1313 [==============================] - 12s 10ms/step - loss: 0.9752 - accuracy: 0.6892 - val_loss: 0.9954 - val_accuracy: 0.6798 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.9089 - accuracy: 0.7126 - val_loss: 0.9253 - val_accuracy: 0.7071 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 0.8536 - accuracy: 0.7302 - val_loss: 0.8241 - val_accuracy: 0.7453 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8074 - accuracy: 0.7456 - val_loss: 0.8198 - val_accuracy: 0.7465 1313/1313 [==============================] - 5s 4ms/step - loss: 0.7386 - accuracy: 0.7697 563/563 [==============================] - 2s 4ms/step - loss: 0.8198 - accuracy: 0.7465 1313/1313 [==============================] - 6s 4ms/step - loss: 0.7386 - accuracy: 0.7697 563/563 [==============================] - 2s 4ms/step - loss: 0.8198 - accuracy: 0.7465 Epoch 1/10 1313/1313 [==============================] - 15s 10ms/step - loss: 2.1013 - accuracy: 0.2199 - val_loss: 1.7837 - val_accuracy: 0.3655 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.5431 - accuracy: 0.4653 - val_loss: 1.4372 - val_accuracy: 0.5210 Epoch 3/10 1313/1313 [==============================] - 12s 10ms/step - loss: 1.3214 - accuracy: 0.5708 - val_loss: 1.2028 - val_accuracy: 0.6217 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.1780 - accuracy: 0.6239 - val_loss: 1.1238 - val_accuracy: 0.6511 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0952 - accuracy: 0.6568 - val_loss: 1.0960 - val_accuracy: 0.6504 Epoch 6/10 1313/1313 [==============================] - 14s 10ms/step - loss: 1.0347 - accuracy: 0.6766 - val_loss: 1.0164 - val_accuracy: 0.6887 Epoch 7/10 1313/1313 [==============================] - 15s 11ms/step - loss: 0.9894 - accuracy: 0.6920 - val_loss: 1.0004 - val_accuracy: 0.6931 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.9531 - accuracy: 0.7023 - val_loss: 0.9721 - val_accuracy: 0.6961 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9224 - accuracy: 0.7136 - val_loss: 0.9507 - val_accuracy: 0.7086 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.8974 - accuracy: 0.7215 - val_loss: 0.9127 - val_accuracy: 0.7167 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8688 - accuracy: 0.7334 563/563 [==============================] - 2s 3ms/step - loss: 0.9127 - accuracy: 0.7167 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8688 - accuracy: 0.7334 563/563 [==============================] - 2s 3ms/step - loss: 0.9127 - accuracy: 0.7167 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3012 - accuracy: 0.1029 - val_loss: 2.3002 - val_accuracy: 0.1098 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3000 - accuracy: 0.1100 - val_loss: 2.2999 - val_accuracy: 0.1122 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2997 - accuracy: 0.1126 - val_loss: 2.2998 - val_accuracy: 0.1137 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2995 - accuracy: 0.1152 - val_loss: 2.2996 - val_accuracy: 0.1149 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2994 - accuracy: 0.1171 - val_loss: 2.2995 - val_accuracy: 0.1161 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2993 - accuracy: 0.1174 - val_loss: 2.2995 - val_accuracy: 0.1176 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2992 - accuracy: 0.1190 - val_loss: 2.2994 - val_accuracy: 0.1184 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2991 - accuracy: 0.1196 - val_loss: 2.2993 - val_accuracy: 0.1190 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2991 - accuracy: 0.1201 - val_loss: 2.2993 - val_accuracy: 0.1194 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2990 - accuracy: 0.1207 - val_loss: 2.2992 - val_accuracy: 0.1199 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2990 - accuracy: 0.1210 563/563 [==============================] - 2s 3ms/step - loss: 2.2992 - accuracy: 0.1199 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2990 - accuracy: 0.1210 563/563 [==============================] - 2s 3ms/step - loss: 2.2992 - accuracy: 0.1199 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1549 - accuracy: 0.1903 - val_loss: 1.7818 - val_accuracy: 0.3330 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5827 - accuracy: 0.4434 - val_loss: 1.3731 - val_accuracy: 0.5075 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3499 - accuracy: 0.5464 - val_loss: 1.3914 - val_accuracy: 0.5343 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1848 - accuracy: 0.6140 - val_loss: 1.1241 - val_accuracy: 0.6478 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0730 - accuracy: 0.6566 - val_loss: 0.9876 - val_accuracy: 0.6884 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9945 - accuracy: 0.6831 - val_loss: 0.9333 - val_accuracy: 0.7145 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9226 - accuracy: 0.7071 - val_loss: 0.9358 - val_accuracy: 0.7021 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8772 - accuracy: 0.7213 - val_loss: 0.8203 - val_accuracy: 0.7446 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8320 - accuracy: 0.7372 - val_loss: 0.8557 - val_accuracy: 0.7332 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7922 - accuracy: 0.7492 - val_loss: 1.0426 - val_accuracy: 0.6701 1313/1313 [==============================] - 4s 3ms/step - loss: 0.9602 - accuracy: 0.6869 563/563 [==============================] - 2s 3ms/step - loss: 1.0426 - accuracy: 0.6701 1313/1313 [==============================] - 4s 3ms/step - loss: 0.9602 - accuracy: 0.6869 563/563 [==============================] - 2s 3ms/step - loss: 1.0426 - accuracy: 0.6701 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.1928 - accuracy: 0.1712 - val_loss: 1.8301 - val_accuracy: 0.3383 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.6461 - accuracy: 0.4161 - val_loss: 1.4322 - val_accuracy: 0.5016 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3285 - accuracy: 0.5521 - val_loss: 1.2438 - val_accuracy: 0.5791 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1546 - accuracy: 0.6196 - val_loss: 1.3224 - val_accuracy: 0.5682 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.0356 - accuracy: 0.6652 - val_loss: 1.1076 - val_accuracy: 0.6386 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9378 - accuracy: 0.6981 - val_loss: 0.8974 - val_accuracy: 0.7208 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8641 - accuracy: 0.7229 - val_loss: 1.1287 - val_accuracy: 0.6466 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8059 - accuracy: 0.7442 - val_loss: 0.8531 - val_accuracy: 0.7285 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7553 - accuracy: 0.7565 - val_loss: 0.8481 - val_accuracy: 0.7331 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7114 - accuracy: 0.7733 - val_loss: 0.7354 - val_accuracy: 0.7706 1313/1313 [==============================] - 5s 3ms/step - loss: 0.6277 - accuracy: 0.8008 563/563 [==============================] - 2s 3ms/step - loss: 0.7354 - accuracy: 0.7706 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6277 - accuracy: 0.8008 563/563 [==============================] - 2s 3ms/step - loss: 0.7354 - accuracy: 0.7706 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.1859 - accuracy: 0.2198 - val_loss: 1.8515 - val_accuracy: 0.3596 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.6652 - accuracy: 0.4313 - val_loss: 1.5659 - val_accuracy: 0.4685 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.4401 - accuracy: 0.5318 - val_loss: 1.3649 - val_accuracy: 0.5567 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.3122 - accuracy: 0.5793 - val_loss: 1.2682 - val_accuracy: 0.5980 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2338 - accuracy: 0.6068 - val_loss: 1.2424 - val_accuracy: 0.5894 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1775 - accuracy: 0.6271 - val_loss: 1.1708 - val_accuracy: 0.6310 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1350 - accuracy: 0.6407 - val_loss: 1.1273 - val_accuracy: 0.6507 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1001 - accuracy: 0.6540 - val_loss: 1.0825 - val_accuracy: 0.6612 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0715 - accuracy: 0.6644 - val_loss: 1.0696 - val_accuracy: 0.6634 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0464 - accuracy: 0.6735 - val_loss: 1.0404 - val_accuracy: 0.6781 1313/1313 [==============================] - 4s 3ms/step - loss: 1.0204 - accuracy: 0.6860 563/563 [==============================] - 2s 3ms/step - loss: 1.0404 - accuracy: 0.6781 1313/1313 [==============================] - 4s 3ms/step - loss: 1.0204 - accuracy: 0.6860 563/563 [==============================] - 2s 3ms/step - loss: 1.0404 - accuracy: 0.6781 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3021 - accuracy: 0.1158 - val_loss: 2.3017 - val_accuracy: 0.1241 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3006 - accuracy: 0.1237 - val_loss: 2.3011 - val_accuracy: 0.1292 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3002 - accuracy: 0.1242 - val_loss: 2.3008 - val_accuracy: 0.1306 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2999 - accuracy: 0.1249 - val_loss: 2.3006 - val_accuracy: 0.1309 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2997 - accuracy: 0.1260 - val_loss: 2.3005 - val_accuracy: 0.1306 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2996 - accuracy: 0.1265 - val_loss: 2.3004 - val_accuracy: 0.1309 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2995 - accuracy: 0.1272 - val_loss: 2.3003 - val_accuracy: 0.1312 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2994 - accuracy: 0.1276 - val_loss: 2.3002 - val_accuracy: 0.1316 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2993 - accuracy: 0.1279 - val_loss: 2.3001 - val_accuracy: 0.1311 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2992 - accuracy: 0.1273 - val_loss: 2.3000 - val_accuracy: 0.1308 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2992 - accuracy: 0.1277 563/563 [==============================] - 2s 3ms/step - loss: 2.3000 - accuracy: 0.1308 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2992 - accuracy: 0.1277 563/563 [==============================] - 2s 3ms/step - loss: 2.3000 - accuracy: 0.1308 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.0994 - accuracy: 0.2128 - val_loss: 1.7713 - val_accuracy: 0.3598 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5352 - accuracy: 0.4715 - val_loss: 1.3901 - val_accuracy: 0.5231 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2620 - accuracy: 0.5850 - val_loss: 1.4809 - val_accuracy: 0.5194 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1142 - accuracy: 0.6387 - val_loss: 1.0711 - val_accuracy: 0.6470 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0038 - accuracy: 0.6766 - val_loss: 1.0751 - val_accuracy: 0.6553 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9290 - accuracy: 0.7047 - val_loss: 1.0418 - val_accuracy: 0.6674 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8706 - accuracy: 0.7231 - val_loss: 1.3947 - val_accuracy: 0.5591 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8225 - accuracy: 0.7381 - val_loss: 1.3366 - val_accuracy: 0.6087 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7825 - accuracy: 0.7491 - val_loss: 0.7836 - val_accuracy: 0.7573 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7437 - accuracy: 0.7610 - val_loss: 0.8035 - val_accuracy: 0.7499 1313/1313 [==============================] - 4s 3ms/step - loss: 0.7010 - accuracy: 0.7751 563/563 [==============================] - 2s 3ms/step - loss: 0.8035 - accuracy: 0.7499 1313/1313 [==============================] - 4s 3ms/step - loss: 0.7010 - accuracy: 0.7751 563/563 [==============================] - 2s 3ms/step - loss: 0.8035 - accuracy: 0.7499 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1215 - accuracy: 0.2051 - val_loss: 1.6791 - val_accuracy: 0.3879 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5087 - accuracy: 0.4829 - val_loss: 1.7680 - val_accuracy: 0.3958 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2040 - accuracy: 0.6042 - val_loss: 1.2610 - val_accuracy: 0.5733 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0548 - accuracy: 0.6593 - val_loss: 0.9856 - val_accuracy: 0.6816 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9350 - accuracy: 0.6989 - val_loss: 1.0384 - val_accuracy: 0.6701 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8616 - accuracy: 0.7220 - val_loss: 0.8265 - val_accuracy: 0.7402 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7983 - accuracy: 0.7442 - val_loss: 0.8761 - val_accuracy: 0.7276 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7584 - accuracy: 0.7560 - val_loss: 0.8379 - val_accuracy: 0.7355 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7057 - accuracy: 0.7729 - val_loss: 0.7525 - val_accuracy: 0.7631 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.6695 - accuracy: 0.7864 - val_loss: 0.7917 - val_accuracy: 0.7473 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6847 - accuracy: 0.7784 563/563 [==============================] - 2s 3ms/step - loss: 0.7917 - accuracy: 0.7473 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6847 - accuracy: 0.7784 563/563 [==============================] - 2s 3ms/step - loss: 0.7917 - accuracy: 0.7473 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2670 - accuracy: 0.1635 - val_loss: 2.1996 - val_accuracy: 0.2179 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1054 - accuracy: 0.2441 - val_loss: 1.9966 - val_accuracy: 0.3099 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.9242 - accuracy: 0.3320 - val_loss: 1.8246 - val_accuracy: 0.3756 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.7686 - accuracy: 0.3975 - val_loss: 1.6913 - val_accuracy: 0.4156 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.6595 - accuracy: 0.4356 - val_loss: 1.6205 - val_accuracy: 0.4520 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.5884 - accuracy: 0.4657 - val_loss: 1.5789 - val_accuracy: 0.4743 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.5363 - accuracy: 0.4888 - val_loss: 1.5045 - val_accuracy: 0.4993 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4954 - accuracy: 0.5070 - val_loss: 1.4753 - val_accuracy: 0.5181 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4614 - accuracy: 0.5184 - val_loss: 1.4462 - val_accuracy: 0.5229 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4311 - accuracy: 0.5309 - val_loss: 1.4180 - val_accuracy: 0.5335 1313/1313 [==============================] - 5s 3ms/step - loss: 1.4192 - accuracy: 0.5332 563/563 [==============================] - 2s 3ms/step - loss: 1.4180 - accuracy: 0.5335 1313/1313 [==============================] - 5s 3ms/step - loss: 1.4192 - accuracy: 0.5332 563/563 [==============================] - 2s 4ms/step - loss: 1.4180 - accuracy: 0.5335 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3021 - accuracy: 0.1143 - val_loss: 2.3008 - val_accuracy: 0.1198 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3008 - accuracy: 0.1183 - val_loss: 2.3004 - val_accuracy: 0.1201 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3005 - accuracy: 0.1194 - val_loss: 2.3002 - val_accuracy: 0.1198 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3003 - accuracy: 0.1199 - val_loss: 2.3001 - val_accuracy: 0.1200 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3002 - accuracy: 0.1196 - val_loss: 2.3000 - val_accuracy: 0.1203 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3001 - accuracy: 0.1201 - val_loss: 2.2999 - val_accuracy: 0.1201 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3000 - accuracy: 0.1199 - val_loss: 2.2998 - val_accuracy: 0.1207 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2999 - accuracy: 0.1201 - val_loss: 2.2998 - val_accuracy: 0.1206 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2999 - accuracy: 0.1203 - val_loss: 2.2997 - val_accuracy: 0.1209 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2998 - accuracy: 0.1203 - val_loss: 2.2997 - val_accuracy: 0.1211 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2998 - accuracy: 0.1205 563/563 [==============================] - 2s 4ms/step - loss: 2.2997 - accuracy: 0.1211 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2998 - accuracy: 0.1205 563/563 [==============================] - 2s 4ms/step - loss: 2.2997 - accuracy: 0.1211 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3069 - accuracy: 0.0980 - val_loss: 2.3094 - val_accuracy: 0.1004 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3062 - accuracy: 0.0991 - val_loss: 2.3064 - val_accuracy: 0.1007 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3064 - accuracy: 0.0994 - val_loss: 2.3039 - val_accuracy: 0.1004 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3064 - accuracy: 0.0998 - val_loss: 2.3061 - val_accuracy: 0.1007 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3063 - accuracy: 0.1004 - val_loss: 2.3045 - val_accuracy: 0.1008 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3061 - accuracy: 0.0979 - val_loss: 2.3060 - val_accuracy: 0.1007 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3062 - accuracy: 0.0993 - val_loss: 2.3045 - val_accuracy: 0.1007 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3059 - accuracy: 0.1003 - val_loss: 2.3096 - val_accuracy: 0.1004 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3063 - accuracy: 0.1004 - val_loss: 2.3054 - val_accuracy: 0.0982 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3063 - accuracy: 0.0980 - val_loss: 2.3074 - val_accuracy: 0.0955 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3065 - accuracy: 0.1019 563/563 [==============================] - 2s 4ms/step - loss: 2.3074 - accuracy: 0.0955 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3065 - accuracy: 0.1019 563/563 [==============================] - 2s 4ms/step - loss: 2.3074 - accuracy: 0.0955 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3067 - accuracy: 0.0988 - val_loss: 2.3069 - val_accuracy: 0.0955 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3057 - accuracy: 0.0985 - val_loss: 2.3042 - val_accuracy: 0.1047 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2364 - accuracy: 0.1286 - val_loss: 2.2961 - val_accuracy: 0.1609 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.9799 - accuracy: 0.2319 - val_loss: 2.0077 - val_accuracy: 0.2510 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.7432 - accuracy: 0.3615 - val_loss: 1.5313 - val_accuracy: 0.4790 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.4857 - accuracy: 0.4897 - val_loss: 1.4607 - val_accuracy: 0.5117 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3301 - accuracy: 0.5612 - val_loss: 1.2780 - val_accuracy: 0.5854 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2302 - accuracy: 0.6066 - val_loss: 1.1655 - val_accuracy: 0.6233 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1352 - accuracy: 0.6399 - val_loss: 1.0455 - val_accuracy: 0.6753 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0544 - accuracy: 0.6709 - val_loss: 1.0980 - val_accuracy: 0.6602 1313/1313 [==============================] - 5s 4ms/step - loss: 1.0718 - accuracy: 0.6650 563/563 [==============================] - 2s 4ms/step - loss: 1.0980 - accuracy: 0.6602 1313/1313 [==============================] - 5s 4ms/step - loss: 1.0718 - accuracy: 0.6650 563/563 [==============================] - 2s 4ms/step - loss: 1.0980 - accuracy: 0.6602 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2931 - accuracy: 0.1230 - val_loss: 2.2267 - val_accuracy: 0.1968 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.8853 - accuracy: 0.3140 - val_loss: 1.5882 - val_accuracy: 0.4449 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.4990 - accuracy: 0.4812 - val_loss: 1.3818 - val_accuracy: 0.5312 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3000 - accuracy: 0.5643 - val_loss: 1.3254 - val_accuracy: 0.5578 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1731 - accuracy: 0.6168 - val_loss: 1.1696 - val_accuracy: 0.6201 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0771 - accuracy: 0.6559 - val_loss: 1.1349 - val_accuracy: 0.6341 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0045 - accuracy: 0.6811 - val_loss: 0.9653 - val_accuracy: 0.6986 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9437 - accuracy: 0.7019 - val_loss: 0.9310 - val_accuracy: 0.7105 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8927 - accuracy: 0.7181 - val_loss: 0.8887 - val_accuracy: 0.7274 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8527 - accuracy: 0.7326 - val_loss: 0.9163 - val_accuracy: 0.7116 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8630 - accuracy: 0.7242 563/563 [==============================] - 2s 3ms/step - loss: 0.9163 - accuracy: 0.7116 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8630 - accuracy: 0.7242 563/563 [==============================] - 2s 3ms/step - loss: 0.9163 - accuracy: 0.7116 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3002 - accuracy: 0.1072 - val_loss: 2.2991 - val_accuracy: 0.1127 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2987 - accuracy: 0.1122 - val_loss: 2.2985 - val_accuracy: 0.1119 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2983 - accuracy: 0.1149 - val_loss: 2.2982 - val_accuracy: 0.1122 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2980 - accuracy: 0.1156 - val_loss: 2.2980 - val_accuracy: 0.1137 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2978 - accuracy: 0.1164 - val_loss: 2.2979 - val_accuracy: 0.1134 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2977 - accuracy: 0.1169 - val_loss: 2.2977 - val_accuracy: 0.1141 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2976 - accuracy: 0.1180 - val_loss: 2.2976 - val_accuracy: 0.1146 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2975 - accuracy: 0.1186 - val_loss: 2.2975 - val_accuracy: 0.1146 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2974 - accuracy: 0.1191 - val_loss: 2.2974 - val_accuracy: 0.1149 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2973 - accuracy: 0.1192 - val_loss: 2.2974 - val_accuracy: 0.1149 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2972 - accuracy: 0.1195 563/563 [==============================] - 2s 3ms/step - loss: 2.2974 - accuracy: 0.1149 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2972 - accuracy: 0.1195 563/563 [==============================] - 2s 3ms/step - loss: 2.2974 - accuracy: 0.1149 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3030 - accuracy: 0.1030 - val_loss: 2.2821 - val_accuracy: 0.1396 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.1618 - accuracy: 0.1727 - val_loss: 1.7854 - val_accuracy: 0.3433 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.7381 - accuracy: 0.3782 - val_loss: 1.4545 - val_accuracy: 0.4839 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.4714 - accuracy: 0.5017 - val_loss: 1.4733 - val_accuracy: 0.5253 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3183 - accuracy: 0.5682 - val_loss: 1.4585 - val_accuracy: 0.5248 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2202 - accuracy: 0.6112 - val_loss: 1.3141 - val_accuracy: 0.5862 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1388 - accuracy: 0.6405 - val_loss: 1.0765 - val_accuracy: 0.6604 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0797 - accuracy: 0.6621 - val_loss: 1.0675 - val_accuracy: 0.6684 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0262 - accuracy: 0.6810 - val_loss: 0.9807 - val_accuracy: 0.7026 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0007 - accuracy: 0.6882 - val_loss: 0.9773 - val_accuracy: 0.6979 1313/1313 [==============================] - 4s 3ms/step - loss: 0.9433 - accuracy: 0.7079 563/563 [==============================] - 2s 3ms/step - loss: 0.9773 - accuracy: 0.6979 1313/1313 [==============================] - 4s 3ms/step - loss: 0.9433 - accuracy: 0.7079 563/563 [==============================] - 2s 3ms/step - loss: 0.9773 - accuracy: 0.6979 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2754 - accuracy: 0.1230 - val_loss: 2.2360 - val_accuracy: 0.1277 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.8687 - accuracy: 0.3133 - val_loss: 1.6113 - val_accuracy: 0.4209 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5176 - accuracy: 0.4772 - val_loss: 1.3988 - val_accuracy: 0.5299 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2972 - accuracy: 0.5745 - val_loss: 1.2716 - val_accuracy: 0.5803 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1707 - accuracy: 0.6210 - val_loss: 1.0666 - val_accuracy: 0.6529 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0639 - accuracy: 0.6584 - val_loss: 0.9408 - val_accuracy: 0.7055 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9751 - accuracy: 0.6906 - val_loss: 0.9362 - val_accuracy: 0.7028 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.9118 - accuracy: 0.7116 - val_loss: 1.1002 - val_accuracy: 0.6616 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8481 - accuracy: 0.7320 - val_loss: 0.9977 - val_accuracy: 0.6966 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8010 - accuracy: 0.7477 - val_loss: 0.8590 - val_accuracy: 0.7329 1313/1313 [==============================] - 4s 3ms/step - loss: 0.7713 - accuracy: 0.7537 563/563 [==============================] - 2s 3ms/step - loss: 0.8590 - accuracy: 0.7329 1313/1313 [==============================] - 4s 3ms/step - loss: 0.7713 - accuracy: 0.7537 563/563 [==============================] - 2s 3ms/step - loss: 0.8590 - accuracy: 0.7329 Epoch 1/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1748 - accuracy: 0.1940 - val_loss: 1.7650 - val_accuracy: 0.3717 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5726 - accuracy: 0.4632 - val_loss: 1.3709 - val_accuracy: 0.5447 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2984 - accuracy: 0.5726 - val_loss: 1.2560 - val_accuracy: 0.5854 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.1777 - accuracy: 0.6190 - val_loss: 1.2080 - val_accuracy: 0.5998 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0934 - accuracy: 0.6525 - val_loss: 1.0574 - val_accuracy: 0.6652 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0275 - accuracy: 0.6736 - val_loss: 1.0170 - val_accuracy: 0.6816 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9787 - accuracy: 0.6937 - val_loss: 1.0258 - val_accuracy: 0.6749 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9362 - accuracy: 0.7075 - val_loss: 0.9866 - val_accuracy: 0.6918 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9019 - accuracy: 0.7213 - val_loss: 0.9077 - val_accuracy: 0.7249 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8738 - accuracy: 0.7278 - val_loss: 0.8917 - val_accuracy: 0.7261 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8443 - accuracy: 0.7377 563/563 [==============================] - 2s 3ms/step - loss: 0.8917 - accuracy: 0.7261 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8443 - accuracy: 0.7377 563/563 [==============================] - 2s 3ms/step - loss: 0.8917 - accuracy: 0.7261 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3011 - accuracy: 0.1090 - val_loss: 2.3001 - val_accuracy: 0.1158 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2997 - accuracy: 0.1164 - val_loss: 2.2997 - val_accuracy: 0.1189 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2994 - accuracy: 0.1187 - val_loss: 2.2995 - val_accuracy: 0.1208 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2992 - accuracy: 0.1218 - val_loss: 2.2993 - val_accuracy: 0.1223 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2991 - accuracy: 0.1226 - val_loss: 2.2992 - val_accuracy: 0.1228 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2990 - accuracy: 0.1239 - val_loss: 2.2991 - val_accuracy: 0.1234 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2989 - accuracy: 0.1247 - val_loss: 2.2990 - val_accuracy: 0.1243 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2988 - accuracy: 0.1249 - val_loss: 2.2989 - val_accuracy: 0.1253 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2987 - accuracy: 0.1263 - val_loss: 2.2989 - val_accuracy: 0.1261 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2986 - accuracy: 0.1261 - val_loss: 2.2988 - val_accuracy: 0.1268 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2986 - accuracy: 0.1266 563/563 [==============================] - 2s 3ms/step - loss: 2.2988 - accuracy: 0.1268 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2986 - accuracy: 0.1266 563/563 [==============================] - 2s 3ms/step - loss: 2.2988 - accuracy: 0.1268 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2298 - accuracy: 0.1587 - val_loss: 2.3368 - val_accuracy: 0.1894 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.7272 - accuracy: 0.3876 - val_loss: 1.4711 - val_accuracy: 0.4705 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4399 - accuracy: 0.5104 - val_loss: 1.5038 - val_accuracy: 0.5248 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2677 - accuracy: 0.5860 - val_loss: 1.2636 - val_accuracy: 0.5819 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1379 - accuracy: 0.6347 - val_loss: 1.1662 - val_accuracy: 0.6389 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0556 - accuracy: 0.6654 - val_loss: 1.3260 - val_accuracy: 0.6003 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.9853 - accuracy: 0.6884 - val_loss: 0.9189 - val_accuracy: 0.7135 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9247 - accuracy: 0.7060 - val_loss: 0.9189 - val_accuracy: 0.7117 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8778 - accuracy: 0.7247 - val_loss: 0.9637 - val_accuracy: 0.6978 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8470 - accuracy: 0.7319 - val_loss: 0.9679 - val_accuracy: 0.6996 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8899 - accuracy: 0.7179 563/563 [==============================] - 2s 3ms/step - loss: 0.9679 - accuracy: 0.6996 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8899 - accuracy: 0.7179 563/563 [==============================] - 2s 3ms/step - loss: 0.9679 - accuracy: 0.6996 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2133 - accuracy: 0.1533 - val_loss: 2.0351 - val_accuracy: 0.2379 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.6819 - accuracy: 0.4027 - val_loss: 1.6511 - val_accuracy: 0.4154 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3690 - accuracy: 0.5362 - val_loss: 1.2949 - val_accuracy: 0.5623 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.1734 - accuracy: 0.6164 - val_loss: 1.1633 - val_accuracy: 0.6151 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0396 - accuracy: 0.6643 - val_loss: 0.9705 - val_accuracy: 0.6918 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9513 - accuracy: 0.6940 - val_loss: 1.1506 - val_accuracy: 0.6297 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.8676 - accuracy: 0.7236 - val_loss: 1.2003 - val_accuracy: 0.6446 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8132 - accuracy: 0.7403 - val_loss: 0.7852 - val_accuracy: 0.7547 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7656 - accuracy: 0.7564 - val_loss: 0.8590 - val_accuracy: 0.7338 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.7205 - accuracy: 0.7713 - val_loss: 0.8071 - val_accuracy: 0.7486 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6931 - accuracy: 0.7784 563/563 [==============================] - 2s 3ms/step - loss: 0.8071 - accuracy: 0.7486 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6931 - accuracy: 0.7784 563/563 [==============================] - 2s 3ms/step - loss: 0.8071 - accuracy: 0.7486 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.1369 - accuracy: 0.2171 - val_loss: 1.9768 - val_accuracy: 0.2817 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5943 - accuracy: 0.4509 - val_loss: 1.4324 - val_accuracy: 0.5258 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3768 - accuracy: 0.5434 - val_loss: 1.3992 - val_accuracy: 0.5333 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2640 - accuracy: 0.5875 - val_loss: 1.2074 - val_accuracy: 0.6144 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1921 - accuracy: 0.6190 - val_loss: 1.2181 - val_accuracy: 0.6029 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.1410 - accuracy: 0.6372 - val_loss: 1.1435 - val_accuracy: 0.6401 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0995 - accuracy: 0.6552 - val_loss: 1.1189 - val_accuracy: 0.6453 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0654 - accuracy: 0.6652 - val_loss: 1.0532 - val_accuracy: 0.6740 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0362 - accuracy: 0.6770 - val_loss: 1.0380 - val_accuracy: 0.6769 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 1.0105 - accuracy: 0.6838 - val_loss: 1.0165 - val_accuracy: 0.6871 1313/1313 [==============================] - 5s 4ms/step - loss: 0.9928 - accuracy: 0.6898 563/563 [==============================] - 2s 4ms/step - loss: 1.0165 - accuracy: 0.6871 1313/1313 [==============================] - 5s 4ms/step - loss: 0.9928 - accuracy: 0.6898 563/563 [==============================] - 2s 4ms/step - loss: 1.0165 - accuracy: 0.6871 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3000 - accuracy: 0.1335 - val_loss: 2.2989 - val_accuracy: 0.1404 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2983 - accuracy: 0.1439 - val_loss: 2.2984 - val_accuracy: 0.1464 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2979 - accuracy: 0.1470 - val_loss: 2.2981 - val_accuracy: 0.1478 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2977 - accuracy: 0.1491 - val_loss: 2.2979 - val_accuracy: 0.1484 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2975 - accuracy: 0.1493 - val_loss: 2.2978 - val_accuracy: 0.1492 Epoch 6/10 1313/1313 [==============================] - 12s 10ms/step - loss: 2.2973 - accuracy: 0.1509 - val_loss: 2.2977 - val_accuracy: 0.1502 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2972 - accuracy: 0.1512 - val_loss: 2.2976 - val_accuracy: 0.1508 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2971 - accuracy: 0.1519 - val_loss: 2.2975 - val_accuracy: 0.1513 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.2970 - accuracy: 0.1521 - val_loss: 2.2974 - val_accuracy: 0.1520 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2970 - accuracy: 0.1526 - val_loss: 2.2973 - val_accuracy: 0.1526 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2969 - accuracy: 0.1526 563/563 [==============================] - 2s 4ms/step - loss: 2.2973 - accuracy: 0.1526 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2969 - accuracy: 0.1526 563/563 [==============================] - 2s 4ms/step - loss: 2.2973 - accuracy: 0.1526 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3212 - accuracy: 0.1003 - val_loss: 2.3146 - val_accuracy: 0.1008 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3208 - accuracy: 0.1000 - val_loss: 2.3279 - val_accuracy: 0.0955 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3200 - accuracy: 0.1000 - val_loss: 2.3174 - val_accuracy: 0.1007 Epoch 4/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3207 - accuracy: 0.0989 - val_loss: 2.3230 - val_accuracy: 0.0955 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3198 - accuracy: 0.1005 - val_loss: 2.3128 - val_accuracy: 0.1018 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3204 - accuracy: 0.0983 - val_loss: 2.3236 - val_accuracy: 0.1008 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3206 - accuracy: 0.0994 - val_loss: 2.3139 - val_accuracy: 0.1004 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3197 - accuracy: 0.0985 - val_loss: 2.3309 - val_accuracy: 0.1002 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3201 - accuracy: 0.1005 - val_loss: 2.3154 - val_accuracy: 0.1007 Epoch 10/10 1313/1313 [==============================] - 12s 10ms/step - loss: 2.3211 - accuracy: 0.1009 - val_loss: 2.3139 - val_accuracy: 0.0982 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3122 - accuracy: 0.1008 563/563 [==============================] - 2s 4ms/step - loss: 2.3139 - accuracy: 0.0982 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3122 - accuracy: 0.1008 563/563 [==============================] - 2s 4ms/step - loss: 2.3139 - accuracy: 0.0982 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3205 - accuracy: 0.1005 - val_loss: 2.3115 - val_accuracy: 0.1002 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3166 - accuracy: 0.1006 - val_loss: 2.3242 - val_accuracy: 0.0955 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3160 - accuracy: 0.0983 - val_loss: 2.3133 - val_accuracy: 0.1004 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3149 - accuracy: 0.0995 - val_loss: 2.3154 - val_accuracy: 0.1007 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3136 - accuracy: 0.1001 - val_loss: 2.3101 - val_accuracy: 0.1002 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3136 - accuracy: 0.0992 - val_loss: 2.3158 - val_accuracy: 0.1018 Epoch 7/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3123 - accuracy: 0.0992 - val_loss: 2.3167 - val_accuracy: 0.1016 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3123 - accuracy: 0.1008 - val_loss: 2.3139 - val_accuracy: 0.0955 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3111 - accuracy: 0.1004 - val_loss: 2.3044 - val_accuracy: 0.1018 Epoch 10/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3108 - accuracy: 0.0978 - val_loss: 2.3110 - val_accuracy: 0.1002 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3108 - accuracy: 0.0999 563/563 [==============================] - 2s 4ms/step - loss: 2.3110 - accuracy: 0.1002 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3108 - accuracy: 0.0999 563/563 [==============================] - 2s 4ms/step - loss: 2.3110 - accuracy: 0.1002 Epoch 1/10 1313/1313 [==============================] - 16s 11ms/step - loss: 2.3072 - accuracy: 0.0977 - val_loss: 2.3055 - val_accuracy: 0.0982 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3037 - accuracy: 0.1006 - val_loss: 2.3033 - val_accuracy: 0.1008 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3032 - accuracy: 0.0997 - val_loss: 2.3030 - val_accuracy: 0.1018 Epoch 4/10 1313/1313 [==============================] - 16s 12ms/step - loss: 2.3030 - accuracy: 0.1019 - val_loss: 2.3032 - val_accuracy: 0.1007 Epoch 5/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3030 - accuracy: 0.0989 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 6/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3029 - accuracy: 0.0984 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3029 - accuracy: 0.0981 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0992 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 9/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.0981 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.1011 - val_loss: 2.3028 - val_accuracy: 0.0982 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3026 - accuracy: 0.1008 563/563 [==============================] - 2s 4ms/step - loss: 2.3028 - accuracy: 0.0982 1313/1313 [==============================] - 6s 4ms/step - loss: 2.3026 - accuracy: 0.1008 563/563 [==============================] - 2s 4ms/step - loss: 2.3028 - accuracy: 0.0982 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3044 - accuracy: 0.1019 - val_loss: 2.3031 - val_accuracy: 0.0983 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.1014 - val_loss: 2.3029 - val_accuracy: 0.0964 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3027 - accuracy: 0.1026 - val_loss: 2.3028 - val_accuracy: 0.0964 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3026 - accuracy: 0.1025 - val_loss: 2.3027 - val_accuracy: 0.0959 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3026 - accuracy: 0.1016 - val_loss: 2.3027 - val_accuracy: 0.0954 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3025 - accuracy: 0.1018 - val_loss: 2.3026 - val_accuracy: 0.0946 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3025 - accuracy: 0.1023 - val_loss: 2.3026 - val_accuracy: 0.0947 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3025 - accuracy: 0.1019 - val_loss: 2.3026 - val_accuracy: 0.0948 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3024 - accuracy: 0.1021 - val_loss: 2.3026 - val_accuracy: 0.0950 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3024 - accuracy: 0.1022 - val_loss: 2.3026 - val_accuracy: 0.0949 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3024 - accuracy: 0.1023 563/563 [==============================] - 2s 4ms/step - loss: 2.3026 - accuracy: 0.0949 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3024 - accuracy: 0.1023 563/563 [==============================] - 2s 4ms/step - loss: 2.3026 - accuracy: 0.0949 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3113 - accuracy: 0.0989 - val_loss: 2.3163 - val_accuracy: 0.1018 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3115 - accuracy: 0.0997 - val_loss: 2.3131 - val_accuracy: 0.1007 Epoch 3/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3121 - accuracy: 0.0993 - val_loss: 2.3103 - val_accuracy: 0.1002 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3108 - accuracy: 0.1002 - val_loss: 2.3103 - val_accuracy: 0.1016 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3110 - accuracy: 0.1025 - val_loss: 2.3125 - val_accuracy: 0.0955 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3117 - accuracy: 0.1007 - val_loss: 2.3115 - val_accuracy: 0.1002 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3110 - accuracy: 0.1005 - val_loss: 2.3119 - val_accuracy: 0.0955 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3116 - accuracy: 0.0992 - val_loss: 2.3100 - val_accuracy: 0.0982 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3113 - accuracy: 0.1005 - val_loss: 2.3145 - val_accuracy: 0.0955 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3119 - accuracy: 0.1009 - val_loss: 2.3115 - val_accuracy: 0.1004 1313/1313 [==============================] - 6s 4ms/step - loss: 2.3108 - accuracy: 0.0998 563/563 [==============================] - 2s 4ms/step - loss: 2.3115 - accuracy: 0.1004 1313/1313 [==============================] - 6s 5ms/step - loss: 2.3108 - accuracy: 0.0998 563/563 [==============================] - 3s 4ms/step - loss: 2.3115 - accuracy: 0.1004 Epoch 1/10 1313/1313 [==============================] - 14s 9ms/step - loss: 2.3115 - accuracy: 0.1003 - val_loss: 2.3238 - val_accuracy: 0.1002 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3103 - accuracy: 0.1000 - val_loss: 2.3136 - val_accuracy: 0.1007 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3092 - accuracy: 0.1011 - val_loss: 2.3044 - val_accuracy: 0.1007 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3094 - accuracy: 0.0985 - val_loss: 2.3060 - val_accuracy: 0.0955 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3080 - accuracy: 0.1011 - val_loss: 2.3087 - val_accuracy: 0.0955 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3080 - accuracy: 0.1017 - val_loss: 2.3084 - val_accuracy: 0.1007 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3078 - accuracy: 0.0971 - val_loss: 2.3083 - val_accuracy: 0.1004 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3075 - accuracy: 0.0996 - val_loss: 2.3057 - val_accuracy: 0.0982 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3068 - accuracy: 0.1012 - val_loss: 2.3072 - val_accuracy: 0.1007 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3071 - accuracy: 0.1014 - val_loss: 2.3072 - val_accuracy: 0.1018 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3079 - accuracy: 0.0992 563/563 [==============================] - 2s 3ms/step - loss: 2.3072 - accuracy: 0.1018 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3079 - accuracy: 0.0992 563/563 [==============================] - 2s 4ms/step - loss: 2.3072 - accuracy: 0.1018 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3047 - accuracy: 0.1008 - val_loss: 2.3034 - val_accuracy: 0.1008 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3031 - accuracy: 0.0993 - val_loss: 2.3031 - val_accuracy: 0.1002 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3030 - accuracy: 0.0984 - val_loss: 2.3029 - val_accuracy: 0.0982 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3028 - accuracy: 0.1017 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1005 - val_loss: 2.3026 - val_accuracy: 0.1036 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3026 - accuracy: 0.1005 - val_loss: 2.3025 - val_accuracy: 0.0935 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3024 - accuracy: 0.1030 - val_loss: 2.3026 - val_accuracy: 0.1098 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3024 - accuracy: 0.1047 - val_loss: 2.3024 - val_accuracy: 0.1063 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3022 - accuracy: 0.1050 - val_loss: 2.3022 - val_accuracy: 0.1129 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3021 - accuracy: 0.1144 - val_loss: 2.3021 - val_accuracy: 0.0967 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3019 - accuracy: 0.1029 563/563 [==============================] - 2s 3ms/step - loss: 2.3021 - accuracy: 0.0967 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3019 - accuracy: 0.1029 563/563 [==============================] - 2s 3ms/step - loss: 2.3021 - accuracy: 0.0967 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3028 - accuracy: 0.1013 - val_loss: 2.3017 - val_accuracy: 0.1066 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3012 - accuracy: 0.1045 - val_loss: 2.3013 - val_accuracy: 0.1083 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3009 - accuracy: 0.1084 - val_loss: 2.3011 - val_accuracy: 0.1086 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3007 - accuracy: 0.1063 - val_loss: 2.3010 - val_accuracy: 0.1113 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3006 - accuracy: 0.1119 - val_loss: 2.3008 - val_accuracy: 0.1119 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3005 - accuracy: 0.1122 - val_loss: 2.3008 - val_accuracy: 0.1136 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3004 - accuracy: 0.1134 - val_loss: 2.3007 - val_accuracy: 0.1139 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3003 - accuracy: 0.1147 - val_loss: 2.3006 - val_accuracy: 0.1147 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3002 - accuracy: 0.1143 - val_loss: 2.3005 - val_accuracy: 0.1158 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3002 - accuracy: 0.1170 - val_loss: 2.3005 - val_accuracy: 0.1165 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3001 - accuracy: 0.1170 563/563 [==============================] - 2s 3ms/step - loss: 2.3005 - accuracy: 0.1165 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3001 - accuracy: 0.1170 563/563 [==============================] - 2s 4ms/step - loss: 2.3005 - accuracy: 0.1165 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3093 - accuracy: 0.0996 - val_loss: 2.3136 - val_accuracy: 0.1007 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3091 - accuracy: 0.0998 - val_loss: 2.3053 - val_accuracy: 0.1002 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3087 - accuracy: 0.0998 - val_loss: 2.3066 - val_accuracy: 0.1002 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3090 - accuracy: 0.1008 - val_loss: 2.3069 - val_accuracy: 0.1002 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3084 - accuracy: 0.1018 - val_loss: 2.3091 - val_accuracy: 0.1004 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3090 - accuracy: 0.0987 - val_loss: 2.3058 - val_accuracy: 0.1018 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3085 - accuracy: 0.1006 - val_loss: 2.3152 - val_accuracy: 0.1007 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3086 - accuracy: 0.0982 - val_loss: 2.3096 - val_accuracy: 0.1002 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3085 - accuracy: 0.0994 - val_loss: 2.3084 - val_accuracy: 0.1007 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3089 - accuracy: 0.0996 - val_loss: 2.3090 - val_accuracy: 0.1018 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3095 - accuracy: 0.0992 563/563 [==============================] - 2s 3ms/step - loss: 2.3090 - accuracy: 0.1018 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3095 - accuracy: 0.0992 563/563 [==============================] - 2s 4ms/step - loss: 2.3090 - accuracy: 0.1018 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.3090 - accuracy: 0.0988 - val_loss: 2.3154 - val_accuracy: 0.1018 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3081 - accuracy: 0.0982 - val_loss: 2.3059 - val_accuracy: 0.0982 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3072 - accuracy: 0.0992 - val_loss: 2.3061 - val_accuracy: 0.1007 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3066 - accuracy: 0.1013 - val_loss: 2.3122 - val_accuracy: 0.1007 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3063 - accuracy: 0.1006 - val_loss: 2.3067 - val_accuracy: 0.1007 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3060 - accuracy: 0.1003 - val_loss: 2.3083 - val_accuracy: 0.1007 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3057 - accuracy: 0.1009 - val_loss: 2.3070 - val_accuracy: 0.1018 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3057 - accuracy: 0.0990 - val_loss: 2.3045 - val_accuracy: 0.1004 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3056 - accuracy: 0.0967 - val_loss: 2.3029 - val_accuracy: 0.1004 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3054 - accuracy: 0.0995 - val_loss: 2.3034 - val_accuracy: 0.1007 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3039 - accuracy: 0.0997 563/563 [==============================] - 2s 3ms/step - loss: 2.3034 - accuracy: 0.1007 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3039 - accuracy: 0.0997 563/563 [==============================] - 2s 3ms/step - loss: 2.3034 - accuracy: 0.1007 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2851 - accuracy: 0.1227 - val_loss: 2.1321 - val_accuracy: 0.1956 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.8427 - accuracy: 0.3336 - val_loss: 1.6358 - val_accuracy: 0.4207 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.4103 - accuracy: 0.5133 - val_loss: 1.3251 - val_accuracy: 0.5449 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.2310 - accuracy: 0.5884 - val_loss: 1.2178 - val_accuracy: 0.5926 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1098 - accuracy: 0.6351 - val_loss: 1.0861 - val_accuracy: 0.6409 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0128 - accuracy: 0.6745 - val_loss: 0.9804 - val_accuracy: 0.6883 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9402 - accuracy: 0.6974 - val_loss: 0.9386 - val_accuracy: 0.7003 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8801 - accuracy: 0.7204 - val_loss: 0.9065 - val_accuracy: 0.7168 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.8325 - accuracy: 0.7377 - val_loss: 0.8555 - val_accuracy: 0.7258 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7947 - accuracy: 0.7476 - val_loss: 0.8965 - val_accuracy: 0.7163 1313/1313 [==============================] - 5s 3ms/step - loss: 0.8380 - accuracy: 0.7283 563/563 [==============================] - 2s 3ms/step - loss: 0.8965 - accuracy: 0.7163 1313/1313 [==============================] - 4s 3ms/step - loss: 0.8380 - accuracy: 0.7283 563/563 [==============================] - 2s 3ms/step - loss: 0.8965 - accuracy: 0.7163 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3029 - accuracy: 0.1059 - val_loss: 2.3016 - val_accuracy: 0.1073 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3013 - accuracy: 0.1104 - val_loss: 2.3013 - val_accuracy: 0.1070 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3010 - accuracy: 0.1111 - val_loss: 2.3012 - val_accuracy: 0.1094 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3009 - accuracy: 0.1125 - val_loss: 2.3011 - val_accuracy: 0.1092 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3008 - accuracy: 0.1139 - val_loss: 2.3010 - val_accuracy: 0.1090 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3007 - accuracy: 0.1116 - val_loss: 2.3009 - val_accuracy: 0.1101 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3006 - accuracy: 0.1123 - val_loss: 2.3009 - val_accuracy: 0.1101 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3006 - accuracy: 0.1124 - val_loss: 2.3008 - val_accuracy: 0.1108 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3005 - accuracy: 0.1130 - val_loss: 2.3008 - val_accuracy: 0.1109 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3005 - accuracy: 0.1131 - val_loss: 2.3007 - val_accuracy: 0.1116 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3005 - accuracy: 0.1140 563/563 [==============================] - 2s 4ms/step - loss: 2.3007 - accuracy: 0.1116 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3005 - accuracy: 0.1140 563/563 [==============================] - 2s 3ms/step - loss: 2.3007 - accuracy: 0.1116 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2878 - accuracy: 0.1339 - val_loss: 2.2619 - val_accuracy: 0.1833 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1997 - accuracy: 0.2090 - val_loss: 2.0911 - val_accuracy: 0.2732 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.9634 - accuracy: 0.3085 - val_loss: 1.8386 - val_accuracy: 0.3569 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.6842 - accuracy: 0.4283 - val_loss: 1.5756 - val_accuracy: 0.4804 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4333 - accuracy: 0.5341 - val_loss: 1.3523 - val_accuracy: 0.5599 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.2745 - accuracy: 0.5915 - val_loss: 1.1915 - val_accuracy: 0.6273 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1734 - accuracy: 0.6317 - val_loss: 1.1746 - val_accuracy: 0.6296 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0931 - accuracy: 0.6590 - val_loss: 1.0451 - val_accuracy: 0.6743 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0231 - accuracy: 0.6835 - val_loss: 1.0183 - val_accuracy: 0.6788 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 0.9649 - accuracy: 0.7007 - val_loss: 0.9316 - val_accuracy: 0.7106 1313/1313 [==============================] - 4s 3ms/step - loss: 0.9030 - accuracy: 0.7209 563/563 [==============================] - 2s 3ms/step - loss: 0.9316 - accuracy: 0.7106 1313/1313 [==============================] - 5s 3ms/step - loss: 0.9030 - accuracy: 0.7209 563/563 [==============================] - 2s 3ms/step - loss: 0.9316 - accuracy: 0.7106 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2830 - accuracy: 0.1698 - val_loss: 2.2597 - val_accuracy: 0.2005 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.1933 - accuracy: 0.2680 - val_loss: 2.0835 - val_accuracy: 0.2725 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.8981 - accuracy: 0.3596 - val_loss: 1.7651 - val_accuracy: 0.4031 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.6208 - accuracy: 0.4538 - val_loss: 1.5012 - val_accuracy: 0.5016 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4477 - accuracy: 0.5231 - val_loss: 1.3932 - val_accuracy: 0.5478 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3117 - accuracy: 0.5824 - val_loss: 1.2762 - val_accuracy: 0.5978 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2168 - accuracy: 0.6121 - val_loss: 1.1776 - val_accuracy: 0.6230 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1520 - accuracy: 0.6345 - val_loss: 1.1746 - val_accuracy: 0.6250 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0993 - accuracy: 0.6532 - val_loss: 1.1016 - val_accuracy: 0.6532 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.0516 - accuracy: 0.6675 - val_loss: 1.0351 - val_accuracy: 0.6741 1313/1313 [==============================] - 4s 3ms/step - loss: 1.0122 - accuracy: 0.6801 563/563 [==============================] - 2s 3ms/step - loss: 1.0351 - accuracy: 0.6741 1313/1313 [==============================] - 4s 3ms/step - loss: 1.0122 - accuracy: 0.6801 563/563 [==============================] - 2s 4ms/step - loss: 1.0351 - accuracy: 0.6741 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.2992 - accuracy: 0.1159 - val_loss: 2.2966 - val_accuracy: 0.1232 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2958 - accuracy: 0.1214 - val_loss: 2.2953 - val_accuracy: 0.1286 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2948 - accuracy: 0.1282 - val_loss: 2.2945 - val_accuracy: 0.1271 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2942 - accuracy: 0.1301 - val_loss: 2.2940 - val_accuracy: 0.1307 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2937 - accuracy: 0.1301 - val_loss: 2.2936 - val_accuracy: 0.1337 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2933 - accuracy: 0.1336 - val_loss: 2.2932 - val_accuracy: 0.1356 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2929 - accuracy: 0.1365 - val_loss: 2.2929 - val_accuracy: 0.1364 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2927 - accuracy: 0.1357 - val_loss: 2.2927 - val_accuracy: 0.1382 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2924 - accuracy: 0.1381 - val_loss: 2.2925 - val_accuracy: 0.1401 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2922 - accuracy: 0.1407 - val_loss: 2.2923 - val_accuracy: 0.1414 1313/1313 [==============================] - 5s 3ms/step - loss: 2.2921 - accuracy: 0.1399 563/563 [==============================] - 2s 3ms/step - loss: 2.2923 - accuracy: 0.1414 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2921 - accuracy: 0.1399 563/563 [==============================] - 2s 3ms/step - loss: 2.2923 - accuracy: 0.1414 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3094 - accuracy: 0.0998 - val_loss: 2.3096 - val_accuracy: 0.0976 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3089 - accuracy: 0.0998 - val_loss: 2.3093 - val_accuracy: 0.0976 Epoch 3/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3087 - accuracy: 0.0998 - val_loss: 2.3092 - val_accuracy: 0.0976 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3086 - accuracy: 0.0998 - val_loss: 2.3092 - val_accuracy: 0.0976 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3086 - accuracy: 0.0998 - val_loss: 2.3091 - val_accuracy: 0.0976 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3085 - accuracy: 0.0998 - val_loss: 2.3091 - val_accuracy: 0.0976 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3085 - accuracy: 0.0998 - val_loss: 2.3091 - val_accuracy: 0.0976 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3085 - accuracy: 0.0998 - val_loss: 2.3091 - val_accuracy: 0.0976 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3085 - accuracy: 0.0998 - val_loss: 2.3091 - val_accuracy: 0.0976 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3084 - accuracy: 0.0998 - val_loss: 2.3090 - val_accuracy: 0.0976 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3084 - accuracy: 0.0998 563/563 [==============================] - 2s 4ms/step - loss: 2.3090 - accuracy: 0.0976 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3084 - accuracy: 0.0998 563/563 [==============================] - 2s 4ms/step - loss: 2.3090 - accuracy: 0.0976 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2994 - accuracy: 0.1183 - val_loss: 2.2941 - val_accuracy: 0.1203 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2869 - accuracy: 0.1571 - val_loss: 2.2797 - val_accuracy: 0.1517 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2671 - accuracy: 0.1928 - val_loss: 2.2500 - val_accuracy: 0.2363 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2181 - accuracy: 0.2444 - val_loss: 2.1659 - val_accuracy: 0.2801 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.0805 - accuracy: 0.2810 - val_loss: 2.0282 - val_accuracy: 0.2604 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.8803 - accuracy: 0.3489 - val_loss: 1.7662 - val_accuracy: 0.4023 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.7055 - accuracy: 0.4275 - val_loss: 1.6216 - val_accuracy: 0.4611 Epoch 8/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5595 - accuracy: 0.4873 - val_loss: 1.5020 - val_accuracy: 0.5165 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4349 - accuracy: 0.5439 - val_loss: 1.3893 - val_accuracy: 0.5497 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.3265 - accuracy: 0.5811 - val_loss: 1.3082 - val_accuracy: 0.5777 1313/1313 [==============================] - 4s 3ms/step - loss: 1.3028 - accuracy: 0.5750 563/563 [==============================] - 2s 3ms/step - loss: 1.3082 - accuracy: 0.5777 1313/1313 [==============================] - 4s 3ms/step - loss: 1.3028 - accuracy: 0.5750 563/563 [==============================] - 2s 3ms/step - loss: 1.3082 - accuracy: 0.5777 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.2968 - accuracy: 0.1288 - val_loss: 2.2887 - val_accuracy: 0.1739 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2811 - accuracy: 0.1865 - val_loss: 2.2707 - val_accuracy: 0.2308 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2582 - accuracy: 0.2255 - val_loss: 2.2410 - val_accuracy: 0.2518 Epoch 4/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2187 - accuracy: 0.2576 - val_loss: 2.1880 - val_accuracy: 0.2798 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.1482 - accuracy: 0.2920 - val_loss: 2.0979 - val_accuracy: 0.3208 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.0370 - accuracy: 0.3360 - val_loss: 1.9571 - val_accuracy: 0.3596 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.8948 - accuracy: 0.3780 - val_loss: 1.8175 - val_accuracy: 0.3816 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.7575 - accuracy: 0.4169 - val_loss: 1.6980 - val_accuracy: 0.4363 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.6500 - accuracy: 0.4523 - val_loss: 1.6103 - val_accuracy: 0.4631 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 1.5627 - accuracy: 0.4845 - val_loss: 1.5137 - val_accuracy: 0.5126 1313/1313 [==============================] - 5s 4ms/step - loss: 1.5208 - accuracy: 0.5059 563/563 [==============================] - 2s 3ms/step - loss: 1.5137 - accuracy: 0.5126 1313/1313 [==============================] - 4s 3ms/step - loss: 1.5208 - accuracy: 0.5059 563/563 [==============================] - 2s 3ms/step - loss: 1.5137 - accuracy: 0.5126 Epoch 1/10 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3018 - accuracy: 0.1156 - val_loss: 2.3004 - val_accuracy: 0.1220 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2999 - accuracy: 0.1247 - val_loss: 2.2997 - val_accuracy: 0.1268 Epoch 3/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2994 - accuracy: 0.1283 - val_loss: 2.2993 - val_accuracy: 0.1296 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2990 - accuracy: 0.1295 - val_loss: 2.2991 - val_accuracy: 0.1314 Epoch 5/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2988 - accuracy: 0.1303 - val_loss: 2.2989 - val_accuracy: 0.1317 Epoch 6/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2986 - accuracy: 0.1316 - val_loss: 2.2987 - val_accuracy: 0.1318 Epoch 7/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2984 - accuracy: 0.1326 - val_loss: 2.2986 - val_accuracy: 0.1322 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2983 - accuracy: 0.1329 - val_loss: 2.2985 - val_accuracy: 0.1331 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2981 - accuracy: 0.1332 - val_loss: 2.2984 - val_accuracy: 0.1346 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2980 - accuracy: 0.1337 - val_loss: 2.2983 - val_accuracy: 0.1352 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2980 - accuracy: 0.1341 563/563 [==============================] - 2s 3ms/step - loss: 2.2983 - accuracy: 0.1352 1313/1313 [==============================] - 5s 3ms/step - loss: 2.2980 - accuracy: 0.1341 563/563 [==============================] - 2s 3ms/step - loss: 2.2983 - accuracy: 0.1352: 0s - loss: 2.2982 - ac Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.3077 - accuracy: 0.1039 - val_loss: 2.3072 - val_accuracy: 0.1036 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3076 - accuracy: 0.1037 - val_loss: 2.3071 - val_accuracy: 0.1034 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1037 - val_loss: 2.3071 - val_accuracy: 0.1034 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1036 - val_loss: 2.3071 - val_accuracy: 0.1037 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1035 - val_loss: 2.3071 - val_accuracy: 0.1036 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1035 - val_loss: 2.3071 - val_accuracy: 0.1036 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1035 - val_loss: 2.3071 - val_accuracy: 0.1035 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3075 - accuracy: 0.1035 - val_loss: 2.3071 - val_accuracy: 0.1035 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3075 - accuracy: 0.1034 - val_loss: 2.3071 - val_accuracy: 0.1035 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3075 - accuracy: 0.1034 - val_loss: 2.3071 - val_accuracy: 0.1035 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3075 - accuracy: 0.1034 563/563 [==============================] - 2s 4ms/step - loss: 2.3071 - accuracy: 0.1035 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3075 - accuracy: 0.1034 563/563 [==============================] - 2s 3ms/step - loss: 2.3071 - accuracy: 0.1035 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2987 - accuracy: 0.1189 - val_loss: 2.2937 - val_accuracy: 0.1341 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2887 - accuracy: 0.1579 - val_loss: 2.2834 - val_accuracy: 0.1734 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2760 - accuracy: 0.1955 - val_loss: 2.2680 - val_accuracy: 0.1858 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2565 - accuracy: 0.2330 - val_loss: 2.2426 - val_accuracy: 0.2463 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2217 - accuracy: 0.2702 - val_loss: 2.1956 - val_accuracy: 0.2891 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.1543 - accuracy: 0.3024 - val_loss: 2.1041 - val_accuracy: 0.3161 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.0352 - accuracy: 0.3348 - val_loss: 1.9657 - val_accuracy: 0.3437 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.8750 - accuracy: 0.3775 - val_loss: 1.7909 - val_accuracy: 0.4010 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.7231 - accuracy: 0.4229 - val_loss: 1.7124 - val_accuracy: 0.4141 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.6057 - accuracy: 0.4610 - val_loss: 1.5416 - val_accuracy: 0.4951 1313/1313 [==============================] - 5s 3ms/step - loss: 1.5453 - accuracy: 0.4938 563/563 [==============================] - 2s 3ms/step - loss: 1.5416 - accuracy: 0.4951 1313/1313 [==============================] - 5s 4ms/step - loss: 1.5453 - accuracy: 0.4938 563/563 [==============================] - 3s 5ms/step - loss: 1.5416 - accuracy: 0.4951 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.2996 - accuracy: 0.1125 - val_loss: 2.2950 - val_accuracy: 0.1347 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2921 - accuracy: 0.1393 - val_loss: 2.2880 - val_accuracy: 0.1520 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2849 - accuracy: 0.1637 - val_loss: 2.2806 - val_accuracy: 0.1772 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2765 - accuracy: 0.1969 - val_loss: 2.2710 - val_accuracy: 0.2084 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2655 - accuracy: 0.2249 - val_loss: 2.2579 - val_accuracy: 0.2386 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2508 - accuracy: 0.2534 - val_loss: 2.2405 - val_accuracy: 0.2686 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2321 - accuracy: 0.2725 - val_loss: 2.2186 - val_accuracy: 0.2946 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2074 - accuracy: 0.2920 - val_loss: 2.1905 - val_accuracy: 0.2960 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.1743 - accuracy: 0.3034 - val_loss: 2.1518 - val_accuracy: 0.3195 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.1301 - accuracy: 0.3188 - val_loss: 2.1003 - val_accuracy: 0.3247 1313/1313 [==============================] - 5s 4ms/step - loss: 2.1032 - accuracy: 0.3214 563/563 [==============================] - 2s 4ms/step - loss: 2.1003 - accuracy: 0.3247 1313/1313 [==============================] - 5s 4ms/step - loss: 2.1032 - accuracy: 0.3214 563/563 [==============================] - 2s 3ms/step - loss: 2.1003 - accuracy: 0.3247 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.3033 - accuracy: 0.1070 - val_loss: 2.3012 - val_accuracy: 0.1106 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3017 - accuracy: 0.1066 - val_loss: 2.3007 - val_accuracy: 0.1113 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3013 - accuracy: 0.1087 - val_loss: 2.3004 - val_accuracy: 0.1122 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3010 - accuracy: 0.1090 - val_loss: 2.3002 - val_accuracy: 0.1124 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3008 - accuracy: 0.1092 - val_loss: 2.3000 - val_accuracy: 0.1133 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3006 - accuracy: 0.1089 - val_loss: 2.2999 - val_accuracy: 0.1131 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3005 - accuracy: 0.1091 - val_loss: 2.2998 - val_accuracy: 0.1132 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3004 - accuracy: 0.1093 - val_loss: 2.2997 - val_accuracy: 0.1129 Epoch 9/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3003 - accuracy: 0.1096 - val_loss: 2.2996 - val_accuracy: 0.1127 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3002 - accuracy: 0.1097 - val_loss: 2.2996 - val_accuracy: 0.1129 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3002 - accuracy: 0.1097 563/563 [==============================] - 2s 3ms/step - loss: 2.2996 - accuracy: 0.1129 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3002 - accuracy: 0.1097 563/563 [==============================] - 2s 3ms/step - loss: 2.2996 - accuracy: 0.1129 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.3042 - accuracy: 0.1070 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3041 - accuracy: 0.1073 - val_loss: 2.3048 - val_accuracy: 0.1094 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3041 - accuracy: 0.1074 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3041 - accuracy: 0.1074 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3041 - accuracy: 0.1074 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3041 - accuracy: 0.1074 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3041 - accuracy: 0.1074 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3041 - accuracy: 0.1075 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3041 - accuracy: 0.1075 - val_loss: 2.3048 - val_accuracy: 0.1093 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3041 - accuracy: 0.1075 - val_loss: 2.3048 - val_accuracy: 0.1093 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3041 - accuracy: 0.1075 563/563 [==============================] - 2s 4ms/step - loss: 2.3048 - accuracy: 0.1093 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3041 - accuracy: 0.1075 563/563 [==============================] - 2s 3ms/step - loss: 2.3048 - accuracy: 0.1093 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.1453 - accuracy: 0.2135 - val_loss: 1.8028 - val_accuracy: 0.3673 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.5119 - accuracy: 0.4820 - val_loss: 1.3605 - val_accuracy: 0.5482 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2162 - accuracy: 0.5992 - val_loss: 1.1843 - val_accuracy: 0.6208 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0503 - accuracy: 0.6635 - val_loss: 1.1836 - val_accuracy: 0.6256 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9460 - accuracy: 0.6989 - val_loss: 0.8971 - val_accuracy: 0.7158 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.8705 - accuracy: 0.7241 - val_loss: 0.9433 - val_accuracy: 0.6951 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.8198 - accuracy: 0.7405 - val_loss: 0.9308 - val_accuracy: 0.7076 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7702 - accuracy: 0.7533 - val_loss: 0.8096 - val_accuracy: 0.7502 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7329 - accuracy: 0.7670 - val_loss: 0.7319 - val_accuracy: 0.7726 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.7009 - accuracy: 0.7740 - val_loss: 0.7299 - val_accuracy: 0.7728 1313/1313 [==============================] - 5s 4ms/step - loss: 0.6408 - accuracy: 0.8017 563/563 [==============================] - 2s 4ms/step - loss: 0.7299 - accuracy: 0.7728 1313/1313 [==============================] - 6s 4ms/step - loss: 0.6408 - accuracy: 0.8017 563/563 [==============================] - 2s 4ms/step - loss: 0.7299 - accuracy: 0.7728 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.1528 - accuracy: 0.2065 - val_loss: 1.7399 - val_accuracy: 0.3899 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.5131 - accuracy: 0.4842 - val_loss: 1.3815 - val_accuracy: 0.5161 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2047 - accuracy: 0.6099 - val_loss: 1.0738 - val_accuracy: 0.6590 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.0598 - accuracy: 0.6607 - val_loss: 1.0372 - val_accuracy: 0.6666 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9539 - accuracy: 0.6964 - val_loss: 0.9588 - val_accuracy: 0.6949 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.8773 - accuracy: 0.7224 - val_loss: 0.8900 - val_accuracy: 0.7199 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8208 - accuracy: 0.7385 - val_loss: 0.8552 - val_accuracy: 0.7336 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.7698 - accuracy: 0.7556 - val_loss: 0.7758 - val_accuracy: 0.7616 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.7296 - accuracy: 0.7699 - val_loss: 0.8019 - val_accuracy: 0.7514 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.6893 - accuracy: 0.7811 - val_loss: 0.7483 - val_accuracy: 0.7718 1313/1313 [==============================] - 5s 3ms/step - loss: 0.6506 - accuracy: 0.7952 563/563 [==============================] - 2s 3ms/step - loss: 0.7483 - accuracy: 0.7718 1313/1313 [==============================] - 5s 3ms/step - loss: 0.6506 - accuracy: 0.7952 563/563 [==============================] - 2s 3ms/step - loss: 0.7483 - accuracy: 0.7718 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2916 - accuracy: 0.1546 - val_loss: 2.2828 - val_accuracy: 0.1931 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2777 - accuracy: 0.2054 - val_loss: 2.2731 - val_accuracy: 0.2165 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2693 - accuracy: 0.2273 - val_loss: 2.2658 - val_accuracy: 0.2338 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2626 - accuracy: 0.2363 - val_loss: 2.2594 - val_accuracy: 0.2395 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2565 - accuracy: 0.2435 - val_loss: 2.2537 - val_accuracy: 0.2456 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2511 - accuracy: 0.2493 - val_loss: 2.2486 - val_accuracy: 0.2522 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2460 - accuracy: 0.2530 - val_loss: 2.2436 - val_accuracy: 0.2570 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2412 - accuracy: 0.2590 - val_loss: 2.2389 - val_accuracy: 0.2578 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.2365 - accuracy: 0.2612 - val_loss: 2.2343 - val_accuracy: 0.2606 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2320 - accuracy: 0.2640 - val_loss: 2.2296 - val_accuracy: 0.2676 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2296 - accuracy: 0.2707 563/563 [==============================] - 2s 4ms/step - loss: 2.2296 - accuracy: 0.2676 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2296 - accuracy: 0.2707 563/563 [==============================] - 2s 3ms/step - loss: 2.2296 - accuracy: 0.2676 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3042 - accuracy: 0.0947 - val_loss: 2.3021 - val_accuracy: 0.0963 Epoch 2/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3034 - accuracy: 0.0964 - val_loss: 2.3019 - val_accuracy: 0.0960 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3032 - accuracy: 0.0970 - val_loss: 2.3017 - val_accuracy: 0.0964 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3031 - accuracy: 0.0971 - val_loss: 2.3016 - val_accuracy: 0.0963 Epoch 5/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3030 - accuracy: 0.0971 - val_loss: 2.3016 - val_accuracy: 0.0973 Epoch 6/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3030 - accuracy: 0.0975 - val_loss: 2.3015 - val_accuracy: 0.0973 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3029 - accuracy: 0.0977 - val_loss: 2.3015 - val_accuracy: 0.0975 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3029 - accuracy: 0.0978 - val_loss: 2.3015 - val_accuracy: 0.0974 Epoch 9/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3028 - accuracy: 0.0981 - val_loss: 2.3014 - val_accuracy: 0.0977 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3028 - accuracy: 0.0982 - val_loss: 2.3014 - val_accuracy: 0.0977 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3028 - accuracy: 0.0982 563/563 [==============================] - 2s 3ms/step - loss: 2.3014 - accuracy: 0.0977 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3028 - accuracy: 0.0982 563/563 [==============================] - 2s 4ms/step - loss: 2.3014 - accuracy: 0.0977 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.2755 - accuracy: 0.1623 - val_loss: 2.1915 - val_accuracy: 0.2716 Epoch 2/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.8343 - accuracy: 0.3702 - val_loss: 1.4484 - val_accuracy: 0.5166 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.3812 - accuracy: 0.5421 - val_loss: 1.2746 - val_accuracy: 0.5847 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.1758 - accuracy: 0.6221 - val_loss: 1.1492 - val_accuracy: 0.6299 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0552 - accuracy: 0.6644 - val_loss: 0.9999 - val_accuracy: 0.6837 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9608 - accuracy: 0.6952 - val_loss: 0.9531 - val_accuracy: 0.7007 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8902 - accuracy: 0.7193 - val_loss: 0.9972 - val_accuracy: 0.6812 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8322 - accuracy: 0.7347 - val_loss: 0.9699 - val_accuracy: 0.6845 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7870 - accuracy: 0.7503 - val_loss: 0.7939 - val_accuracy: 0.7544 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.7462 - accuracy: 0.7652 - val_loss: 0.7408 - val_accuracy: 0.7726 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6738 - accuracy: 0.7911 563/563 [==============================] - 2s 3ms/step - loss: 0.7408 - accuracy: 0.7726 1313/1313 [==============================] - 4s 3ms/step - loss: 0.6738 - accuracy: 0.7911 563/563 [==============================] - 2s 3ms/step - loss: 0.7408 - accuracy: 0.7726 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2814 - accuracy: 0.1497 - val_loss: 2.2198 - val_accuracy: 0.2217 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.9047 - accuracy: 0.3419 - val_loss: 1.5324 - val_accuracy: 0.4877 Epoch 3/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.4219 - accuracy: 0.5279 - val_loss: 1.3318 - val_accuracy: 0.5617 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.2275 - accuracy: 0.6028 - val_loss: 1.2364 - val_accuracy: 0.5981 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.0970 - accuracy: 0.6502 - val_loss: 1.1099 - val_accuracy: 0.6453 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.9993 - accuracy: 0.6851 - val_loss: 0.9625 - val_accuracy: 0.6957 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.9231 - accuracy: 0.7110 - val_loss: 0.9047 - val_accuracy: 0.7207 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8595 - accuracy: 0.7307 - val_loss: 0.9215 - val_accuracy: 0.7148 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.8150 - accuracy: 0.7459 - val_loss: 0.8314 - val_accuracy: 0.7436 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 0.7749 - accuracy: 0.7566 - val_loss: 0.8538 - val_accuracy: 0.7346 1313/1313 [==============================] - 5s 4ms/step - loss: 0.7908 - accuracy: 0.7497 563/563 [==============================] - 2s 4ms/step - loss: 0.8538 - accuracy: 0.7346 1313/1313 [==============================] - 4s 3ms/step - loss: 0.7908 - accuracy: 0.7497 563/563 [==============================] - 2s 4ms/step - loss: 0.8538 - accuracy: 0.7346 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.2949 - accuracy: 0.1368 - val_loss: 2.2897 - val_accuracy: 0.1682 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2875 - accuracy: 0.1699 - val_loss: 2.2856 - val_accuracy: 0.1812 Epoch 3/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2841 - accuracy: 0.1850 - val_loss: 2.2826 - val_accuracy: 0.1893 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2816 - accuracy: 0.1935 - val_loss: 2.2804 - val_accuracy: 0.1938 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2796 - accuracy: 0.1984 - val_loss: 2.2785 - val_accuracy: 0.1993 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2779 - accuracy: 0.2023 - val_loss: 2.2769 - val_accuracy: 0.2024 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2764 - accuracy: 0.2066 - val_loss: 2.2756 - val_accuracy: 0.2042 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2751 - accuracy: 0.2092 - val_loss: 2.2743 - val_accuracy: 0.2084 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2739 - accuracy: 0.2109 - val_loss: 2.2731 - val_accuracy: 0.2110 Epoch 10/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.2729 - accuracy: 0.2132 - val_loss: 2.2722 - val_accuracy: 0.2138 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2723 - accuracy: 0.2144 563/563 [==============================] - 2s 4ms/step - loss: 2.2722 - accuracy: 0.2138 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2723 - accuracy: 0.2144 563/563 [==============================] - 2s 4ms/step - loss: 2.2722 - accuracy: 0.2138 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3085 - accuracy: 0.1015 - val_loss: 2.3095 - val_accuracy: 0.0956 Epoch 2/10 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3074 - accuracy: 0.1027 - val_loss: 2.3090 - val_accuracy: 0.0955 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3071 - accuracy: 0.1028 - val_loss: 2.3087 - val_accuracy: 0.0966 Epoch 4/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3069 - accuracy: 0.1030 - val_loss: 2.3085 - val_accuracy: 0.0962 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3068 - accuracy: 0.1033 - val_loss: 2.3084 - val_accuracy: 0.0964 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3067 - accuracy: 0.1029 - val_loss: 2.3083 - val_accuracy: 0.0971 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3066 - accuracy: 0.1031 - val_loss: 2.3082 - val_accuracy: 0.0972 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3065 - accuracy: 0.1028 - val_loss: 2.3081 - val_accuracy: 0.0973 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3065 - accuracy: 0.1030 - val_loss: 2.3081 - val_accuracy: 0.0973 Epoch 10/10 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3065 - accuracy: 0.1031 - val_loss: 2.3080 - val_accuracy: 0.0970 1313/1313 [==============================] - 5s 3ms/step - loss: 2.3064 - accuracy: 0.1032 563/563 [==============================] - 2s 4ms/step - loss: 2.3080 - accuracy: 0.0970 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3064 - accuracy: 0.1032 563/563 [==============================] - 2s 3ms/step - loss: 2.3080 - accuracy: 0.0970 Epoch 1/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2691 - accuracy: 0.1640 - val_loss: 2.1908 - val_accuracy: 0.2022 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.9927 - accuracy: 0.2984 - val_loss: 1.7999 - val_accuracy: 0.3516 Epoch 3/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.5751 - accuracy: 0.4685 - val_loss: 1.4088 - val_accuracy: 0.5311 Epoch 4/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.3316 - accuracy: 0.5667 - val_loss: 1.3414 - val_accuracy: 0.5649 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.2042 - accuracy: 0.6152 - val_loss: 1.1596 - val_accuracy: 0.6416 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0971 - accuracy: 0.6541 - val_loss: 1.0724 - val_accuracy: 0.6605 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0087 - accuracy: 0.6847 - val_loss: 1.0638 - val_accuracy: 0.6646 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9409 - accuracy: 0.7070 - val_loss: 1.0707 - val_accuracy: 0.6601 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8806 - accuracy: 0.7240 - val_loss: 0.9384 - val_accuracy: 0.7051 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.8316 - accuracy: 0.7393 - val_loss: 0.9157 - val_accuracy: 0.7098 1313/1313 [==============================] - 5s 4ms/step - loss: 0.8603 - accuracy: 0.7265 563/563 [==============================] - 2s 4ms/step - loss: 0.9157 - accuracy: 0.7098 1313/1313 [==============================] - 5s 3ms/step - loss: 0.8603 - accuracy: 0.7265 563/563 [==============================] - 2s 4ms/step - loss: 0.9157 - accuracy: 0.7098 Epoch 1/10 1313/1313 [==============================] - 14s 10ms/step - loss: 2.2846 - accuracy: 0.1565 - val_loss: 2.2483 - val_accuracy: 0.2306 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.1182 - accuracy: 0.2743 - val_loss: 1.9374 - val_accuracy: 0.3317 Epoch 3/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.7018 - accuracy: 0.4207 - val_loss: 1.5900 - val_accuracy: 0.4571 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.4375 - accuracy: 0.5225 - val_loss: 1.3426 - val_accuracy: 0.5683 Epoch 5/10 1313/1313 [==============================] - 12s 9ms/step - loss: 1.2962 - accuracy: 0.5765 - val_loss: 1.3222 - val_accuracy: 0.5736 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.1916 - accuracy: 0.6194 - val_loss: 1.1978 - val_accuracy: 0.6242 Epoch 7/10 1313/1313 [==============================] - 11s 9ms/step - loss: 1.1120 - accuracy: 0.6508 - val_loss: 1.0940 - val_accuracy: 0.6561 Epoch 8/10 1313/1313 [==============================] - 11s 8ms/step - loss: 1.0431 - accuracy: 0.6759 - val_loss: 1.0094 - val_accuracy: 0.6847 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 0.9915 - accuracy: 0.6908 - val_loss: 0.9715 - val_accuracy: 0.7000 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 0.9441 - accuracy: 0.7072 - val_loss: 0.9575 - val_accuracy: 0.7006 1313/1313 [==============================] - 5s 4ms/step - loss: 0.9235 - accuracy: 0.7105 563/563 [==============================] - 2s 4ms/step - loss: 0.9575 - accuracy: 0.7006 1313/1313 [==============================] - 5s 4ms/step - loss: 0.9235 - accuracy: 0.7105 563/563 [==============================] - 2s 3ms/step - loss: 0.9575 - accuracy: 0.7006 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.2990 - accuracy: 0.1172 - val_loss: 2.2971 - val_accuracy: 0.1276 Epoch 2/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2958 - accuracy: 0.1349 - val_loss: 2.2954 - val_accuracy: 0.1346 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2946 - accuracy: 0.1403 - val_loss: 2.2945 - val_accuracy: 0.1399 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2938 - accuracy: 0.1455 - val_loss: 2.2938 - val_accuracy: 0.1409 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.2932 - accuracy: 0.1465 - val_loss: 2.2933 - val_accuracy: 0.1495 Epoch 6/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2927 - accuracy: 0.1503 - val_loss: 2.2929 - val_accuracy: 0.1537 Epoch 7/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2923 - accuracy: 0.1561 - val_loss: 2.2925 - val_accuracy: 0.1524 Epoch 8/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2920 - accuracy: 0.1603 - val_loss: 2.2922 - val_accuracy: 0.1518 Epoch 9/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2916 - accuracy: 0.1597 - val_loss: 2.2918 - val_accuracy: 0.1558 Epoch 10/10 1313/1313 [==============================] - 12s 9ms/step - loss: 2.2913 - accuracy: 0.1606 - val_loss: 2.2916 - val_accuracy: 0.1596 1313/1313 [==============================] - 4s 3ms/step - loss: 2.2912 - accuracy: 0.1615 563/563 [==============================] - 2s 3ms/step - loss: 2.2916 - accuracy: 0.1596 1313/1313 [==============================] - 5s 4ms/step - loss: 2.2912 - accuracy: 0.1615 563/563 [==============================] - 2s 3ms/step - loss: 2.2916 - accuracy: 0.1596 Epoch 1/10 1313/1313 [==============================] - 13s 9ms/step - loss: 2.3039 - accuracy: 0.0996 - val_loss: 2.3039 - val_accuracy: 0.0993 Epoch 2/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3037 - accuracy: 0.1002 - val_loss: 2.3038 - val_accuracy: 0.0993 Epoch 3/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3036 - accuracy: 0.1004 - val_loss: 2.3037 - val_accuracy: 0.0994 Epoch 4/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3036 - accuracy: 0.1005 - val_loss: 2.3037 - val_accuracy: 0.0994 Epoch 5/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3036 - accuracy: 0.1005 - val_loss: 2.3037 - val_accuracy: 0.0993 Epoch 6/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3035 - accuracy: 0.1004 - val_loss: 2.3037 - val_accuracy: 0.0993 Epoch 7/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3035 - accuracy: 0.1004 - val_loss: 2.3037 - val_accuracy: 0.0991 Epoch 8/10 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3035 - accuracy: 0.1003 - val_loss: 2.3036 - val_accuracy: 0.0989 Epoch 9/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3035 - accuracy: 0.1003 - val_loss: 2.3036 - val_accuracy: 0.0991 Epoch 10/10 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3035 - accuracy: 0.1003 - val_loss: 2.3036 - val_accuracy: 0.0988 1313/1313 [==============================] - 4s 3ms/step - loss: 2.3035 - accuracy: 0.1002 563/563 [==============================] - 2s 4ms/step - loss: 2.3036 - accuracy: 0.0988 1313/1313 [==============================] - 5s 4ms/step - loss: 2.3035 - accuracy: 0.1002 563/563 [==============================] - 2s 4ms/step - loss: 2.3036 - accuracy: 0.0988
notify()
classifier_data_SGD.to_csv("Final_model_status.csv")
from tensorflow.keras.callbacks import TensorBoard
from datetime import datetime
timestamp = datetime.now().strftime("%Y-%M-%D-%H%M")
log_directory = 'logs\\fit'
board = TensorBoard(log_dir=log_directory,histogram_freq=1,write_graph=True,write_images=True,
update_freq='epoch',profile_batch=2,embeddings_freq=1)
print(log_directory)
logs\fit
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=8)
image_model = Sequential()
image_model.add(Dense(500,input_shape=(1024,),activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(400,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(300,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(200,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(100,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(50,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(10,activation='softmax'))
sgd = optimizers.SGD(lr=0.01, decay=0.0001, momentum=0.8)
image_model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
image_model.fit(X_train,y_train,epochs=200,validation_data=(X_test,y_test),callbacks=[ES,board])
Epoch 1/200 1313/1313 [==============================] - 23s 17ms/step - loss: 2.3055 - accuracy: 0.1005 - val_loss: 2.3026 - val_accuracy: 0.1038 Epoch 2/200 1313/1313 [==============================] - 17s 13ms/step - loss: 2.3033 - accuracy: 0.1006 - val_loss: 2.3026 - val_accuracy: 0.1004 Epoch 3/200 1313/1313 [==============================] - 18s 13ms/step - loss: 2.3027 - accuracy: 0.1012 - val_loss: 2.3022 - val_accuracy: 0.1188 Epoch 4/200 1313/1313 [==============================] - 24s 18ms/step - loss: 2.3017 - accuracy: 0.1080 - val_loss: 2.2976 - val_accuracy: 0.1146 Epoch 5/200 1313/1313 [==============================] - 18s 14ms/step - loss: 2.2371 - accuracy: 0.1420 - val_loss: 2.1035 - val_accuracy: 0.1748 Epoch 6/200 1313/1313 [==============================] - 16s 12ms/step - loss: 2.0583 - accuracy: 0.1933 - val_loss: 2.0053 - val_accuracy: 0.2052 Epoch 7/200 1313/1313 [==============================] - 20s 15ms/step - loss: 1.9804 - accuracy: 0.2177 - val_loss: 1.9151 - val_accuracy: 0.2466 Epoch 8/200 1313/1313 [==============================] - 18s 14ms/step - loss: 1.9225 - accuracy: 0.2478 - val_loss: 1.8046 - val_accuracy: 0.2962 Epoch 9/200 1313/1313 [==============================] - 21s 16ms/step - loss: 1.8147 - accuracy: 0.3021 - val_loss: 1.6277 - val_accuracy: 0.3967 Epoch 10/200 1313/1313 [==============================] - 17s 13ms/step - loss: 1.6692 - accuracy: 0.3809 - val_loss: 1.4933 - val_accuracy: 0.4541 Epoch 11/200 1313/1313 [==============================] - 16s 12ms/step - loss: 1.5711 - accuracy: 0.4285 - val_loss: 1.3792 - val_accuracy: 0.5217 Epoch 12/200 1313/1313 [==============================] - 18s 14ms/step - loss: 1.4671 - accuracy: 0.4838 - val_loss: 1.2259 - val_accuracy: 0.6027 Epoch 13/200 1313/1313 [==============================] - 19s 14ms/step - loss: 1.3828 - accuracy: 0.5244 - val_loss: 1.1529 - val_accuracy: 0.6138 Epoch 14/200 1313/1313 [==============================] - 18s 13ms/step - loss: 1.3076 - accuracy: 0.5580 - val_loss: 1.1246 - val_accuracy: 0.6271 Epoch 15/200 1313/1313 [==============================] - 17s 13ms/step - loss: 1.2555 - accuracy: 0.5796 - val_loss: 1.0488 - val_accuracy: 0.6624 Epoch 16/200 1313/1313 [==============================] - 20s 15ms/step - loss: 1.2156 - accuracy: 0.5993 - val_loss: 1.0154 - val_accuracy: 0.6718 Epoch 17/200 1313/1313 [==============================] - 27s 20ms/step - loss: 1.1696 - accuracy: 0.6153 - val_loss: 1.0170 - val_accuracy: 0.6670 Epoch 18/200 1313/1313 [==============================] - 19s 14ms/step - loss: 1.1459 - accuracy: 0.6302 - val_loss: 0.9464 - val_accuracy: 0.7009 Epoch 19/200 1313/1313 [==============================] - 17s 13ms/step - loss: 1.1061 - accuracy: 0.6423 - val_loss: 0.9137 - val_accuracy: 0.7116 Epoch 20/200 1313/1313 [==============================] - 22s 17ms/step - loss: 1.0793 - accuracy: 0.6526 - val_loss: 0.9132 - val_accuracy: 0.7104 Epoch 21/200 1313/1313 [==============================] - 20s 15ms/step - loss: 1.0460 - accuracy: 0.6651 - val_loss: 0.9113 - val_accuracy: 0.7059 Epoch 22/200 1313/1313 [==============================] - 17s 13ms/step - loss: 1.0316 - accuracy: 0.6725 - val_loss: 0.8455 - val_accuracy: 0.7345 Epoch 23/200 1313/1313 [==============================] - 18s 13ms/step - loss: 0.9940 - accuracy: 0.6880 - val_loss: 0.8918 - val_accuracy: 0.7161 Epoch 24/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.9837 - accuracy: 0.6917 - val_loss: 0.7984 - val_accuracy: 0.7552 Epoch 25/200 1313/1313 [==============================] - 21s 16ms/step - loss: 0.9658 - accuracy: 0.7007 - val_loss: 0.8108 - val_accuracy: 0.7481 Epoch 26/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.9465 - accuracy: 0.7060 - val_loss: 0.8263 - val_accuracy: 0.7403 Epoch 27/200 1313/1313 [==============================] - 21s 16ms/step - loss: 0.9215 - accuracy: 0.7124 - val_loss: 0.7785 - val_accuracy: 0.7562 Epoch 28/200 1313/1313 [==============================] - 20s 15ms/step - loss: 0.9117 - accuracy: 0.7186 - val_loss: 0.7756 - val_accuracy: 0.7585 Epoch 29/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.8979 - accuracy: 0.7230 - val_loss: 0.7592 - val_accuracy: 0.7639 Epoch 30/200 1313/1313 [==============================] - 22s 17ms/step - loss: 0.8754 - accuracy: 0.7303 - val_loss: 0.8015 - val_accuracy: 0.7517 Epoch 31/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.8644 - accuracy: 0.7313 - val_loss: 0.7366 - val_accuracy: 0.7737 Epoch 32/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.8536 - accuracy: 0.7382 - val_loss: 0.7448 - val_accuracy: 0.7708 Epoch 33/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.8367 - accuracy: 0.7420 - val_loss: 0.7154 - val_accuracy: 0.7801 Epoch 34/200 1313/1313 [==============================] - 22s 17ms/step - loss: 0.8378 - accuracy: 0.7415 - val_loss: 0.7328 - val_accuracy: 0.7748 Epoch 35/200 1313/1313 [==============================] - 19s 15ms/step - loss: 0.8248 - accuracy: 0.7466 - val_loss: 0.7166 - val_accuracy: 0.7806 Epoch 36/200 1313/1313 [==============================] - 19s 15ms/step - loss: 0.8139 - accuracy: 0.7511 - val_loss: 0.7109 - val_accuracy: 0.7802 Epoch 37/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.8002 - accuracy: 0.7554 - val_loss: 0.6982 - val_accuracy: 0.7862 Epoch 38/200 1313/1313 [==============================] - 16s 13ms/step - loss: 0.7910 - accuracy: 0.7582 - val_loss: 0.7015 - val_accuracy: 0.7876 Epoch 39/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.7827 - accuracy: 0.7613 - val_loss: 0.6939 - val_accuracy: 0.7877 Epoch 40/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.7709 - accuracy: 0.7641 - val_loss: 0.6789 - val_accuracy: 0.7949 Epoch 41/200 1313/1313 [==============================] - 23s 18ms/step - loss: 0.7651 - accuracy: 0.7682 - val_loss: 0.6687 - val_accuracy: 0.7964 Epoch 42/200 1313/1313 [==============================] - 18s 13ms/step - loss: 0.7563 - accuracy: 0.7675 - val_loss: 0.6841 - val_accuracy: 0.7917 Epoch 43/200 1313/1313 [==============================] - 20s 15ms/step - loss: 0.7526 - accuracy: 0.7700 - val_loss: 0.6640 - val_accuracy: 0.7967 Epoch 44/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.7441 - accuracy: 0.7743 - val_loss: 0.6592 - val_accuracy: 0.7987 Epoch 45/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.7414 - accuracy: 0.7750 - val_loss: 0.6576 - val_accuracy: 0.7986 Epoch 46/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.7307 - accuracy: 0.7790 - val_loss: 0.6485 - val_accuracy: 0.8015 Epoch 47/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.7228 - accuracy: 0.7802 - val_loss: 0.6337 - val_accuracy: 0.8058 Epoch 48/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.7209 - accuracy: 0.7781 - val_loss: 0.6344 - val_accuracy: 0.8063 Epoch 49/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.7131 - accuracy: 0.7839 - val_loss: 0.6456 - val_accuracy: 0.8026 Epoch 50/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.7095 - accuracy: 0.7829 - val_loss: 0.6553 - val_accuracy: 0.7996 Epoch 51/200 1313/1313 [==============================] - 21s 16ms/step - loss: 0.7033 - accuracy: 0.7873 - val_loss: 0.6121 - val_accuracy: 0.8145 Epoch 52/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.7041 - accuracy: 0.7872 - val_loss: 0.6426 - val_accuracy: 0.8032 Epoch 53/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.6920 - accuracy: 0.7898 - val_loss: 0.6208 - val_accuracy: 0.8127 Epoch 54/200 1313/1313 [==============================] - 23s 18ms/step - loss: 0.6920 - accuracy: 0.7896 - val_loss: 0.6349 - val_accuracy: 0.8075 Epoch 55/200 1313/1313 [==============================] - 24s 18ms/step - loss: 0.6798 - accuracy: 0.7946 - val_loss: 0.6326 - val_accuracy: 0.8083 Epoch 56/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6783 - accuracy: 0.7963 - val_loss: 0.6135 - val_accuracy: 0.8148 Epoch 57/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.6724 - accuracy: 0.7951 - val_loss: 0.6228 - val_accuracy: 0.8117 Epoch 58/200 1313/1313 [==============================] - 22s 17ms/step - loss: 0.6689 - accuracy: 0.7979 - val_loss: 0.6076 - val_accuracy: 0.8152 Epoch 59/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6658 - accuracy: 0.8002 - val_loss: 0.5955 - val_accuracy: 0.8193 Epoch 60/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.6510 - accuracy: 0.8038 - val_loss: 0.6064 - val_accuracy: 0.8164 Epoch 61/200 1313/1313 [==============================] - 19s 15ms/step - loss: 0.6570 - accuracy: 0.8011 - val_loss: 0.5850 - val_accuracy: 0.8221 Epoch 62/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6412 - accuracy: 0.8054 - val_loss: 0.6254 - val_accuracy: 0.8110 Epoch 63/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6457 - accuracy: 0.8024 - val_loss: 0.6280 - val_accuracy: 0.8132 Epoch 64/200 1313/1313 [==============================] - 19s 14ms/step - loss: 0.6411 - accuracy: 0.8049 - val_loss: 0.6076 - val_accuracy: 0.8169 Epoch 65/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6384 - accuracy: 0.8064 - val_loss: 0.5979 - val_accuracy: 0.8217 Epoch 66/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.6382 - accuracy: 0.8059 - val_loss: 0.5858 - val_accuracy: 0.8246 Epoch 67/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.6279 - accuracy: 0.8095 - val_loss: 0.5897 - val_accuracy: 0.8217 Epoch 68/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.6290 - accuracy: 0.8096 - val_loss: 0.6098 - val_accuracy: 0.8171 Epoch 69/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.6262 - accuracy: 0.8105 - val_loss: 0.5741 - val_accuracy: 0.8297 Epoch 70/200 1313/1313 [==============================] - 19s 15ms/step - loss: 0.6188 - accuracy: 0.8132 - val_loss: 0.5820 - val_accuracy: 0.8244 Epoch 71/200 1313/1313 [==============================] - 19s 14ms/step - loss: 0.6101 - accuracy: 0.8131 - val_loss: 0.5930 - val_accuracy: 0.8237 Epoch 72/200 1313/1313 [==============================] - 19s 14ms/step - loss: 0.6095 - accuracy: 0.8159 - val_loss: 0.5797 - val_accuracy: 0.8242 Epoch 73/200 1313/1313 [==============================] - 19s 14ms/step - loss: 0.6073 - accuracy: 0.8162 - val_loss: 0.5954 - val_accuracy: 0.8212 Epoch 74/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.6030 - accuracy: 0.8161 - val_loss: 0.5655 - val_accuracy: 0.8290 Epoch 75/200 1313/1313 [==============================] - 15s 11ms/step - loss: 0.6056 - accuracy: 0.8172 - val_loss: 0.5638 - val_accuracy: 0.8302 Epoch 76/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.5953 - accuracy: 0.8192 - val_loss: 0.5753 - val_accuracy: 0.8255 Epoch 77/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.5999 - accuracy: 0.8182 - val_loss: 0.5686 - val_accuracy: 0.8309 Epoch 78/200 1313/1313 [==============================] - 15s 12ms/step - loss: 0.5982 - accuracy: 0.8195 - val_loss: 0.5797 - val_accuracy: 0.8259 Epoch 79/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.5931 - accuracy: 0.8205 - val_loss: 0.5701 - val_accuracy: 0.8292 Epoch 80/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5891 - accuracy: 0.8228 - val_loss: 0.5528 - val_accuracy: 0.8347 Epoch 81/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5822 - accuracy: 0.8248 - val_loss: 0.5755 - val_accuracy: 0.8255 Epoch 82/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5789 - accuracy: 0.8254 - val_loss: 0.5713 - val_accuracy: 0.8271 Epoch 83/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5844 - accuracy: 0.8241 - val_loss: 0.5535 - val_accuracy: 0.8364 Epoch 84/200 1313/1313 [==============================] - 15s 11ms/step - loss: 0.5791 - accuracy: 0.8240 - val_loss: 0.5629 - val_accuracy: 0.8312 Epoch 85/200 1313/1313 [==============================] - 18s 14ms/step - loss: 0.5781 - accuracy: 0.8250 - val_loss: 0.5644 - val_accuracy: 0.8317 Epoch 86/200 1313/1313 [==============================] - 15s 12ms/step - loss: 0.5695 - accuracy: 0.8277 - val_loss: 0.5602 - val_accuracy: 0.8326 Epoch 87/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5718 - accuracy: 0.8281 - val_loss: 0.5424 - val_accuracy: 0.8361 Epoch 88/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5720 - accuracy: 0.8291 - val_loss: 0.5654 - val_accuracy: 0.8274 Epoch 89/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.5684 - accuracy: 0.8290 - val_loss: 0.5542 - val_accuracy: 0.8343 Epoch 90/200 1313/1313 [==============================] - 15s 11ms/step - loss: 0.5615 - accuracy: 0.8315 - val_loss: 0.5534 - val_accuracy: 0.8354 Epoch 91/200 1313/1313 [==============================] - 20s 15ms/step - loss: 0.5555 - accuracy: 0.8344 - val_loss: 0.5658 - val_accuracy: 0.8294 Epoch 92/200 1313/1313 [==============================] - 27s 20ms/step - loss: 0.5569 - accuracy: 0.8329 - val_loss: 0.5418 - val_accuracy: 0.8379 Epoch 93/200 1313/1313 [==============================] - 16s 13ms/step - loss: 0.5593 - accuracy: 0.8324 - val_loss: 0.5394 - val_accuracy: 0.8390 Epoch 94/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5534 - accuracy: 0.8318 - val_loss: 0.5491 - val_accuracy: 0.8364 Epoch 95/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5503 - accuracy: 0.8344 - val_loss: 0.5370 - val_accuracy: 0.8392 Epoch 96/200 1313/1313 [==============================] - 14s 11ms/step - loss: 0.5422 - accuracy: 0.8346 - val_loss: 0.5517 - val_accuracy: 0.8357 Epoch 97/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5437 - accuracy: 0.8375 - val_loss: 0.5453 - val_accuracy: 0.8369 Epoch 98/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5464 - accuracy: 0.8343 - val_loss: 0.5382 - val_accuracy: 0.8401 Epoch 99/200 1313/1313 [==============================] - 15s 12ms/step - loss: 0.5380 - accuracy: 0.8368 - val_loss: 0.5286 - val_accuracy: 0.8434 Epoch 100/200 1313/1313 [==============================] - 15s 11ms/step - loss: 0.5394 - accuracy: 0.8379 - val_loss: 0.5450 - val_accuracy: 0.8374 Epoch 101/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5407 - accuracy: 0.8371 - val_loss: 0.5406 - val_accuracy: 0.8395 Epoch 102/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5393 - accuracy: 0.8373 - val_loss: 0.5217 - val_accuracy: 0.8459 Epoch 103/200 1313/1313 [==============================] - 15s 11ms/step - loss: 0.5314 - accuracy: 0.8412 - val_loss: 0.5438 - val_accuracy: 0.8397 Epoch 104/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5326 - accuracy: 0.8405 - val_loss: 0.5254 - val_accuracy: 0.8428 Epoch 105/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5321 - accuracy: 0.8409 - val_loss: 0.5286 - val_accuracy: 0.8439 Epoch 106/200 1313/1313 [==============================] - 14s 11ms/step - loss: 0.5305 - accuracy: 0.8399 - val_loss: 0.5324 - val_accuracy: 0.8417 Epoch 107/200 1313/1313 [==============================] - 15s 12ms/step - loss: 0.5271 - accuracy: 0.8412 - val_loss: 0.5309 - val_accuracy: 0.8437 Epoch 108/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5265 - accuracy: 0.8417 - val_loss: 0.5313 - val_accuracy: 0.8436 Epoch 109/200 1313/1313 [==============================] - 17s 13ms/step - loss: 0.5198 - accuracy: 0.8421 - val_loss: 0.5288 - val_accuracy: 0.8432 Epoch 110/200 1313/1313 [==============================] - 16s 12ms/step - loss: 0.5226 - accuracy: 0.8420 - val_loss: 0.5260 - val_accuracy: 0.8434 Epoch 00110: early stopping
<tensorflow.python.keras.callbacks.History at 0x158148d4d30>
notify()
predi = image_model.predict_classes(X_test)
#Predicting the classes
actual = pd.Series([np.argmax(i) for i in y_test])
print(classification_report(actual,predi))
precision recall f1-score support
0 0.88 0.88 0.88 1814
1 0.81 0.88 0.84 1828
2 0.88 0.85 0.86 1803
3 0.82 0.79 0.80 1719
4 0.88 0.88 0.88 1812
5 0.79 0.84 0.81 1768
6 0.86 0.82 0.84 1832
7 0.84 0.90 0.87 1808
8 0.83 0.79 0.81 1812
9 0.85 0.82 0.83 1804
accuracy 0.84 18000
macro avg 0.84 0.84 0.84 18000
weighted avg 0.84 0.84 0.84 18000
image_model.evaluate(X_train,y_train)[0]
1313/1313 [==============================] - 5s 3ms/step - loss: 0.3437 - accuracy: 0.8967
0.34367263317108154
confusion_matrix(actual,predi)
array([[1590, 37, 10, 25, 21, 3, 26, 31, 17, 54],
[ 22, 1610, 15, 30, 36, 9, 11, 60, 25, 10],
[ 16, 28, 1528, 36, 27, 12, 7, 93, 17, 39],
[ 13, 48, 39, 1353, 14, 144, 14, 39, 36, 19],
[ 21, 63, 32, 15, 1587, 10, 32, 12, 8, 32],
[ 18, 22, 12, 83, 9, 1478, 47, 12, 57, 30],
[ 38, 35, 9, 17, 41, 73, 1509, 14, 82, 14],
[ 7, 64, 40, 18, 14, 10, 6, 1619, 12, 18],
[ 32, 41, 25, 42, 24, 64, 85, 14, 1436, 49],
[ 54, 44, 30, 41, 21, 58, 10, 26, 48, 1472]],
dtype=int64)
import cv2
X_train_resized = np.zeros((X_train.shape[0], 28, 28))
for i in range(X_train.shape[0]):
X_train_resized[i,:,:] = cv2.resize(X_train[i], dsize=(28, 28), interpolation=cv2.INTER_CUBIC)
X_test_resized = np.zeros((X_test.shape[0], 28, 28))
for i in range(X_test.shape[0]):
X_test_resized[i,:,:] = cv2.resize(X_test[i], dsize=(28, 28), interpolation=cv2.INTER_CUBIC)
X_train_resized,X_test_resized = nn.dataset_shaping(X_train_resized,y_train,X_test_resized,y_test)
The shape of X_train was (42000, 28, 28) The shape of X_test was (18000, 28, 28) X_train has been reshaped to (42000, 784) X_test has been reshaped to (18000, 784)
X_train_resized,X_test_resized = nn.image_normalization()
Image detected - Data normalized!!
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=15)
image_model_sgd = Sequential()
image_model_sgd.add(Dense(500,input_shape=(784,),activation='relu'))
image_model_sgd.add(Dense(400,activation='relu'))
image_model_sgd.add(Dense(300,activation='relu'))
image_model_sgd.add(Dense(200,activation='relu'))
image_model_sgd.add(Dense(100,activation='relu'))
image_model_sgd.add(Dense(50,activation='relu'))
image_model_sgd.add(Dense(10,activation='softmax'))
sgd = optimizers.SGD(lr=0.01, decay=0.0001, momentum=0.8)
image_model_sgd.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
image_model_sgd.fit(X_train_resized,y_train,epochs=200,validation_data=(X_test_resized,y_test),callbacks=ES)
Epoch 1/200 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3030 - accuracy: 0.0977 - val_loss: 2.3030 - val_accuracy: 0.0955 Epoch 2/200 1313/1313 [==============================] - 17s 13ms/step - loss: 2.3029 - accuracy: 0.1003 - val_loss: 2.3032 - val_accuracy: 0.0955 Epoch 3/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.1012 - val_loss: 2.3027 - val_accuracy: 0.1002 Epoch 4/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3029 - accuracy: 0.1000 - val_loss: 2.3029 - val_accuracy: 0.1002 Epoch 5/200 1313/1313 [==============================] - 15s 12ms/step - loss: 2.3029 - accuracy: 0.0990 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 6/200 1313/1313 [==============================] - 14s 11ms/step - loss: 2.3028 - accuracy: 0.0992 - val_loss: 2.3032 - val_accuracy: 0.0955 Epoch 7/200 1313/1313 [==============================] - 17s 13ms/step - loss: 2.3028 - accuracy: 0.0998 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 8/200 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3028 - accuracy: 0.1005 - val_loss: 2.3031 - val_accuracy: 0.0955 Epoch 9/200 1313/1313 [==============================] - 16s 12ms/step - loss: 2.3028 - accuracy: 0.0998 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 10/200 1313/1313 [==============================] - 17s 13ms/step - loss: 2.3028 - accuracy: 0.1011 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 11/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.0988 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 12/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.1000 - val_loss: 2.3027 - val_accuracy: 0.1016 Epoch 13/200 1313/1313 [==============================] - 16s 12ms/step - loss: 2.3028 - accuracy: 0.0980 - val_loss: 2.3027 - val_accuracy: 0.1004 Epoch 14/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.0986 - val_loss: 2.3027 - val_accuracy: 0.1002 Epoch 15/200 1313/1313 [==============================] - 17s 13ms/step - loss: 2.3028 - accuracy: 0.1000 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 16/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1010 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 17/200 1313/1313 [==============================] - 15s 12ms/step - loss: 2.3027 - accuracy: 0.1000 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 18/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3027 - accuracy: 0.1005 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 19/200 1313/1313 [==============================] - 15s 12ms/step - loss: 2.3027 - accuracy: 0.1006 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 20/200 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3027 - accuracy: 0.1016 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 21/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1011 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 22/200 1313/1313 [==============================] - 14s 11ms/step - loss: 2.3027 - accuracy: 0.0986 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 23/200 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3027 - accuracy: 0.1016 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 24/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1009 - val_loss: 2.3027 - val_accuracy: 0.0982 Epoch 25/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1003 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 26/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1004 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 27/200 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3027 - accuracy: 0.1016 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 28/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1008 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 29/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1010 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 30/200 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3027 - accuracy: 0.0994 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 31/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1017 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 32/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1012 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 33/200 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3027 - accuracy: 0.1017 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 34/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1006 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 35/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1007 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 36/200 293/1313 [=====>........................] - ETA: 7s - loss: 2.3026 - accuracy: 0.1016
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=15)
image_model_adam = Sequential()
image_model_adam.add(Dense(500,input_shape=(784,),activation='relu'))
image_model_adam.add(Dense(400,activation='relu'))
image_model_adam.add(Dense(300,activation='relu'))
image_model_adam.add(Dense(200,activation='relu'))
image_model_adam.add(Dense(100,activation='relu'))
image_model_adam.add(Dense(50,activation='relu'))
image_model_adam.add(Dense(10,activation='softmax'))
image_model_adam.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
image_model_adam.fit(X_train_resized,y_train,epochs=200,validation_data=(X_test_resized,y_test),callbacks=ES)
Epoch 1/200 1313/1313 [==============================] - 12s 8ms/step - loss: 2.3028 - accuracy: 0.1013 - val_loss: 2.3032 - val_accuracy: 0.0955 Epoch 2/200 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3028 - accuracy: 0.0977 - val_loss: 2.3029 - val_accuracy: 0.0982 Epoch 3/200 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3028 - accuracy: 0.0987 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 4/200 1313/1313 [==============================] - 10s 8ms/step - loss: 2.3028 - accuracy: 0.1002 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 5/200 1313/1313 [==============================] - 11s 9ms/step - loss: 2.3027 - accuracy: 0.1011 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 6/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.1002 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 7/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1008 - val_loss: 2.3027 - val_accuracy: 0.1004 Epoch 8/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0984 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 9/200 1313/1313 [==============================] - 14s 11ms/step - loss: 2.3028 - accuracy: 0.1016 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 10/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.1016 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 11/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.1013 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 12/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.0990 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 13/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.0981 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 14/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1018 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 15/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.0996 - val_loss: 2.3027 - val_accuracy: 0.0982 Epoch 16/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0990 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 17/200 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3027 - accuracy: 0.0996 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 18/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.0985 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 19/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.1009 - val_loss: 2.3027 - val_accuracy: 0.1007 Epoch 20/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.0997 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 21/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3027 - accuracy: 0.0992 - val_loss: 2.3028 - val_accuracy: 0.1004 Epoch 22/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0985 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 23/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1019 - val_loss: 2.3027 - val_accuracy: 0.1002 Epoch 24/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1011 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 25/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0995 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 26/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1007 - val_loss: 2.3029 - val_accuracy: 0.0982 Epoch 27/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.0999 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 28/200 1313/1313 [==============================] - 12s 9ms/step - loss: 2.3028 - accuracy: 0.0990 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 29/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3027 - accuracy: 0.1011 - val_loss: 2.3028 - val_accuracy: 0.0982 Epoch 30/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.1010 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 31/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.0995 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 32/200 1313/1313 [==============================] - 11s 8ms/step - loss: 2.3028 - accuracy: 0.0982 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 33/200 358/1313 [=======>......................] - ETA: 7s - loss: 2.3027 - accuracy: 0.10
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-46-605f2615149f> in <module> 9 image_model_adam.add(Dense(10,activation='softmax')) 10 image_model_adam.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) ---> 11 image_model_adam.fit(X_train_resized,y_train,epochs=200,validation_data=(X_test_resized,y_test),callbacks=ES) ~\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing) 1186 logs = tmp_logs # No error, now safe to assign to logs. 1187 end_step = step + data_handler.step_increment -> 1188 callbacks.on_train_batch_end(end_step, logs) 1189 if self.stop_training: 1190 break ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in on_train_batch_end(self, batch, logs) 455 """ 456 if self._should_call_train_batch_hooks: --> 457 self._call_batch_hook(ModeKeys.TRAIN, 'end', batch, logs=logs) 458 459 def on_test_batch_begin(self, batch, logs=None): ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in _call_batch_hook(self, mode, hook, batch, logs) 315 self._call_batch_begin_hook(mode, batch, logs) 316 elif hook == 'end': --> 317 self._call_batch_end_hook(mode, batch, logs) 318 else: 319 raise ValueError('Unrecognized hook: {}'.format(hook)) ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in _call_batch_end_hook(self, mode, batch, logs) 335 self._batch_times.append(batch_time) 336 --> 337 self._call_batch_hook_helper(hook_name, batch, logs) 338 339 if len(self._batch_times) >= self._num_batches_for_timing_check: ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in _call_batch_hook_helper(self, hook_name, batch, logs) 373 for callback in self.callbacks: 374 hook = getattr(callback, hook_name) --> 375 hook(batch, logs) 376 377 if self._check_timing: ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in on_train_batch_end(self, batch, logs) 1027 1028 def on_train_batch_end(self, batch, logs=None): -> 1029 self._batch_update_progbar(batch, logs) 1030 1031 def on_test_batch_end(self, batch, logs=None): ~\Anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py in _batch_update_progbar(self, batch, logs) 1100 # Only block async when verbose = 1. 1101 logs = tf_utils.sync_to_numpy_or_python_type(logs) -> 1102 self.progbar.update(self.seen, list(logs.items()), finalize=False) 1103 1104 def _finalize_progbar(self, logs, counter): ~\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py in update(self, current, values, finalize) 901 prev_total_width = self._total_width 902 if self._dynamic_display: --> 903 sys.stdout.write('\b' * prev_total_width) 904 sys.stdout.write('\r') 905 else: ~\Anaconda3\lib\site-packages\ipykernel\iostream.py in write(self, string) 402 is_child = (not self._is_master_process()) 403 # only touch the buffer in the IO thread to avoid races --> 404 self.pub_thread.schedule(lambda : self._buffer.write(string)) 405 if is_child: 406 # mp.Pool cannot be trusted to flush promptly (or ever), ~\Anaconda3\lib\site-packages\ipykernel\iostream.py in schedule(self, f) 203 self._events.append(f) 204 # wake event thread (message content is ignored) --> 205 self._event_pipe.send(b'') 206 else: 207 f() ~\Anaconda3\lib\site-packages\zmq\sugar\socket.py in send(self, data, flags, copy, track, routing_id, group) 489 copy_threshold=self.copy_threshold) 490 data.group = group --> 491 return super(Socket, self).send(data, flags=flags, copy=copy, track=track) 492 493 def send_multipart(self, msg_parts, flags=0, copy=True, track=False, **kwargs): zmq/backend/cython/socket.pyx in zmq.backend.cython.socket.Socket.send() zmq/backend/cython/socket.pyx in zmq.backend.cython.socket.Socket.send() zmq/backend/cython/socket.pyx in zmq.backend.cython.socket._send_copy() ~\Anaconda3\lib\site-packages\zmq\backend\cython\checkrc.pxd in zmq.backend.cython.checkrc._check_rc() KeyboardInterrupt:
ES = EarlyStopping(monitor='val_loss',mode='min',verbose=1,patience=5)
image_model = Sequential()
image_model.add(Dense(500,input_shape=(784,),activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(400,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(300,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(200,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(100,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(50,activation='relu'))
image_model.add(Dropout(0.2))
image_model.add(Dense(10,activation='softmax'))
sgd = optimizers.SGD(lr=0.01, decay=0.0001, momentum=0.8)
image_model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
image_model.fit(X_train_resized,y_train,epochs=200,validation_data=(X_test_resized,y_test),callbacks=ES)
Epoch 1/200 1313/1313 [==============================] - 15s 10ms/step - loss: 2.3030 - accuracy: 0.0996 - val_loss: 2.3038 - val_accuracy: 0.0955 Epoch 2/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3030 - accuracy: 0.0967 - val_loss: 2.3028 - val_accuracy: 0.1007 Epoch 3/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3030 - accuracy: 0.0995 - val_loss: 2.3027 - val_accuracy: 0.1007 Epoch 4/200 1313/1313 [==============================] - 14s 10ms/step - loss: 2.3028 - accuracy: 0.1007 - val_loss: 2.3029 - val_accuracy: 0.1004 Epoch 5/200 1313/1313 [==============================] - 21s 16ms/step - loss: 2.3029 - accuracy: 0.0977 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 6/200 1313/1313 [==============================] - 15s 12ms/step - loss: 2.3028 - accuracy: 0.1021 - val_loss: 2.3031 - val_accuracy: 0.0982 Epoch 7/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.0987 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 8/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.0999 - val_loss: 2.3027 - val_accuracy: 0.1004 Epoch 9/200 1313/1313 [==============================] - 15s 11ms/step - loss: 2.3028 - accuracy: 0.0981 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 10/200 1313/1313 [==============================] - 13s 10ms/step - loss: 2.3028 - accuracy: 0.1000 - val_loss: 2.3029 - val_accuracy: 0.0955 Epoch 11/200 1313/1313 [==============================] - 15s 12ms/step - loss: 2.3028 - accuracy: 0.1005 - val_loss: 2.3027 - val_accuracy: 0.0955 Epoch 12/200 1313/1313 [==============================] - 14s 11ms/step - loss: 2.3028 - accuracy: 0.1003 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 13/200 1313/1313 [==============================] - 16s 13ms/step - loss: 2.3028 - accuracy: 0.0996 - val_loss: 2.3028 - val_accuracy: 0.0955 Epoch 00013: early stopping
<tensorflow.python.keras.callbacks.History at 0x1581d456400>